Instructions to use tensorblock/bloom-3b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tensorblock/bloom-3b-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tensorblock/bloom-3b-GGUF", filename="bloom-3b-Q2_K.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tensorblock/bloom-3b-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/bloom-3b-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/bloom-3b-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/bloom-3b-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/bloom-3b-GGUF:Q2_K
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tensorblock/bloom-3b-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/bloom-3b-GGUF:Q2_K
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tensorblock/bloom-3b-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/bloom-3b-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/bloom-3b-GGUF:Q2_K
- LM Studio
- Jan
- vLLM
How to use tensorblock/bloom-3b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tensorblock/bloom-3b-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tensorblock/bloom-3b-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/tensorblock/bloom-3b-GGUF:Q2_K
- Ollama
How to use tensorblock/bloom-3b-GGUF with Ollama:
ollama run hf.co/tensorblock/bloom-3b-GGUF:Q2_K
- Unsloth Studio
How to use tensorblock/bloom-3b-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tensorblock/bloom-3b-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tensorblock/bloom-3b-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tensorblock/bloom-3b-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tensorblock/bloom-3b-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/bloom-3b-GGUF:Q2_K
- Lemonade
How to use tensorblock/bloom-3b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/bloom-3b-GGUF:Q2_K
Run and chat with the model
lemonade run user.bloom-3b-GGUF-Q2_K
List all available models
lemonade list
| license: bigscience-bloom-rail-1.0 | |
| language: | |
| - ak | |
| - ar | |
| - as | |
| - bm | |
| - bn | |
| - ca | |
| - code | |
| - en | |
| - es | |
| - eu | |
| - fon | |
| - fr | |
| - gu | |
| - hi | |
| - id | |
| - ig | |
| - ki | |
| - kn | |
| - lg | |
| - ln | |
| - ml | |
| - mr | |
| - ne | |
| - nso | |
| - ny | |
| - or | |
| - pa | |
| - pt | |
| - rn | |
| - rw | |
| - sn | |
| - st | |
| - sw | |
| - ta | |
| - te | |
| - tn | |
| - ts | |
| - tum | |
| - tw | |
| - ur | |
| - vi | |
| - wo | |
| - xh | |
| - yo | |
| - zh | |
| - zhs | |
| - zht | |
| - zu | |
| pipeline_tag: text-generation | |
| tags: | |
| - TensorBlock | |
| - GGUF | |
| base_model: bigscience/bloom-3b | |
| model-index: | |
| - name: bloom | |
| results: | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: arc_challenge | |
| type: arc_challenge | |
| metrics: | |
| - type: acc | |
| value: 0.27986348122866894 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: arc_easy | |
| type: arc_easy | |
| metrics: | |
| - type: acc | |
| value: 0.5946969696969697 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: axb | |
| type: axb | |
| metrics: | |
| - type: acc | |
| value: 0.4433876811594203 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: axg | |
| type: axg | |
| metrics: | |
| - type: acc | |
| value: 0.5 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: boolq | |
| type: boolq | |
| metrics: | |
| - type: acc | |
| value: 0.6165137614678899 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: cb | |
| type: cb | |
| metrics: | |
| - type: acc | |
| value: 0.30357142857142855 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: cola | |
| type: cola | |
| metrics: | |
| - type: acc | |
| value: 0.610738255033557 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: copa | |
| type: copa | |
| metrics: | |
| - type: acc | |
| value: 0.63 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: crows_pairs_english | |
| type: crows_pairs_english | |
| metrics: | |
| - type: acc | |
| value: 0.4973166368515206 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: crows_pairs_french | |
| type: crows_pairs_french | |
| metrics: | |
| - type: acc | |
| value: 0.5032796660703638 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: diabla | |
| type: diabla | |
| metrics: | |
| - type: acc | |
| value: 0.28888308977035493 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_afr | |
| type: gsarti/flores_101_afr | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.500798737976343 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_amh | |
| type: gsarti/flores_101_amh | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.9726863338897145 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ara | |
| type: gsarti/flores_101_ara | |
| metrics: | |
| - type: byte_perplexity | |
| value: 1.8083841089875814 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_asm | |
| type: gsarti/flores_101_asm | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.699102962086425 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ast | |
| type: gsarti/flores_101_ast | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.9252047073429384 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_azj | |
| type: gsarti/flores_101_azj | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.942805054270002 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_bel | |
| type: gsarti/flores_101_bel | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.614136245847082 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ben | |
| type: gsarti/flores_101_ben | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.121491534300969 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_bos | |
| type: gsarti/flores_101_bos | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.653353469118798 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_bul | |
| type: gsarti/flores_101_bul | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.7014693938055068 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_cat | |
| type: gsarti/flores_101_cat | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.305190041967345 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ceb | |
| type: gsarti/flores_101_ceb | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.291000321323428 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ces | |
| type: gsarti/flores_101_ces | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.447322753586386 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ckb | |
| type: gsarti/flores_101_ckb | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.7255124939234765 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_cym | |
| type: gsarti/flores_101_cym | |
| metrics: | |
| - type: byte_perplexity | |
| value: 12.539424151448149 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_dan | |
| type: gsarti/flores_101_dan | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.183309001005672 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_deu | |
| type: gsarti/flores_101_deu | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.1180422286591347 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ell | |
| type: gsarti/flores_101_ell | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.467943456164706 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_eng | |
| type: gsarti/flores_101_eng | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.018740628193298 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_est | |
| type: gsarti/flores_101_est | |
| metrics: | |
| - type: byte_perplexity | |
| value: 9.11654425176368 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_fas | |
| type: gsarti/flores_101_fas | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.058009097116482 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_fin | |
| type: gsarti/flores_101_fin | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.847047959628553 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_fra | |
| type: gsarti/flores_101_fra | |
| metrics: | |
| - type: byte_perplexity | |
| value: 1.9975177011840075 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ful | |
| type: gsarti/flores_101_ful | |
| metrics: | |
| - type: byte_perplexity | |
| value: 11.465912731488828 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_gle | |
| type: gsarti/flores_101_gle | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.681491663539422 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_glg | |
| type: gsarti/flores_101_glg | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.029991089015508 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_guj | |
| type: gsarti/flores_101_guj | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.955224230286231 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_hau | |
| type: gsarti/flores_101_hau | |
| metrics: | |
| - type: byte_perplexity | |
| value: 10.758347356372159 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_heb | |
| type: gsarti/flores_101_heb | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.6004478129801667 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_hin | |
| type: gsarti/flores_101_hin | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.712530650588064 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_hrv | |
| type: gsarti/flores_101_hrv | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.822418943372185 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_hun | |
| type: gsarti/flores_101_hun | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.440482646965992 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_hye | |
| type: gsarti/flores_101_hye | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.657718918347166 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ibo | |
| type: gsarti/flores_101_ibo | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.564814003872672 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ind | |
| type: gsarti/flores_101_ind | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.1597101468869373 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_isl | |
| type: gsarti/flores_101_isl | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.082349269518136 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ita | |
| type: gsarti/flores_101_ita | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.9687591414176207 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_jav | |
| type: gsarti/flores_101_jav | |
| metrics: | |
| - type: byte_perplexity | |
| value: 7.0573805415708994 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_jpn | |
| type: gsarti/flores_101_jpn | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.7758864197116933 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kam | |
| type: gsarti/flores_101_kam | |
| metrics: | |
| - type: byte_perplexity | |
| value: 11.072949642861332 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kan | |
| type: gsarti/flores_101_kan | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.551730651007082 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kat | |
| type: gsarti/flores_101_kat | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.522630524283745 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kaz | |
| type: gsarti/flores_101_kaz | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.3901748516975574 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kea | |
| type: gsarti/flores_101_kea | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.918534182590863 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kir | |
| type: gsarti/flores_101_kir | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.729278369847201 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_kor | |
| type: gsarti/flores_101_kor | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.932884847226212 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_lao | |
| type: gsarti/flores_101_lao | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.9077314760849924 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_lav | |
| type: gsarti/flores_101_lav | |
| metrics: | |
| - type: byte_perplexity | |
| value: 7.777221919194806 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_lin | |
| type: gsarti/flores_101_lin | |
| metrics: | |
| - type: byte_perplexity | |
| value: 7.524842908050988 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_lit | |
| type: gsarti/flores_101_lit | |
| metrics: | |
| - type: byte_perplexity | |
| value: 7.369179434621725 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ltz | |
| type: gsarti/flores_101_ltz | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.801059747949214 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_lug | |
| type: gsarti/flores_101_lug | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.483203026364786 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_luo | |
| type: gsarti/flores_101_luo | |
| metrics: | |
| - type: byte_perplexity | |
| value: 11.975963093623681 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mal | |
| type: gsarti/flores_101_mal | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.615948455160037 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mar | |
| type: gsarti/flores_101_mar | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.483253482821379 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mkd | |
| type: gsarti/flores_101_mkd | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.9656732291754087 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mlt | |
| type: gsarti/flores_101_mlt | |
| metrics: | |
| - type: byte_perplexity | |
| value: 15.004773437665275 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mon | |
| type: gsarti/flores_101_mon | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.410598542315402 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mri | |
| type: gsarti/flores_101_mri | |
| metrics: | |
| - type: byte_perplexity | |
| value: 7.474035895661322 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_msa | |
| type: gsarti/flores_101_msa | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.5710001772665634 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_mya | |
| type: gsarti/flores_101_mya | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.413577969878331 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_nld | |
| type: gsarti/flores_101_nld | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.127831721885065 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_nob | |
| type: gsarti/flores_101_nob | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.402763169129877 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_npi | |
| type: gsarti/flores_101_npi | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.199342701937889 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_nso | |
| type: gsarti/flores_101_nso | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.154626800955667 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_nya | |
| type: gsarti/flores_101_nya | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.179860208369393 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_oci | |
| type: gsarti/flores_101_oci | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.8617357393685845 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_orm | |
| type: gsarti/flores_101_orm | |
| metrics: | |
| - type: byte_perplexity | |
| value: 12.911595421079408 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ory | |
| type: gsarti/flores_101_ory | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.189421861225964 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_pan | |
| type: gsarti/flores_101_pan | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.698477289331806 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_pol | |
| type: gsarti/flores_101_pol | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.625550458479643 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_por | |
| type: gsarti/flores_101_por | |
| metrics: | |
| - type: byte_perplexity | |
| value: 1.9754515986213523 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_pus | |
| type: gsarti/flores_101_pus | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.4963371422771585 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ron | |
| type: gsarti/flores_101_ron | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.965456830031304 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_rus | |
| type: gsarti/flores_101_rus | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.0498020542445303 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_slk | |
| type: gsarti/flores_101_slk | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.450822127057479 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_slv | |
| type: gsarti/flores_101_slv | |
| metrics: | |
| - type: byte_perplexity | |
| value: 6.620252120186232 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_sna | |
| type: gsarti/flores_101_sna | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.462166771382726 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_snd | |
| type: gsarti/flores_101_snd | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.466066951221973 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_som | |
| type: gsarti/flores_101_som | |
| metrics: | |
| - type: byte_perplexity | |
| value: 11.95918054093392 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_spa | |
| type: gsarti/flores_101_spa | |
| metrics: | |
| - type: byte_perplexity | |
| value: 1.8965140104323535 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_srp | |
| type: gsarti/flores_101_srp | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.871214785885079 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_swe | |
| type: gsarti/flores_101_swe | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.054972008155866 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_swh | |
| type: gsarti/flores_101_swh | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.6973091886730676 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_tam | |
| type: gsarti/flores_101_tam | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.539493400469833 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_tel | |
| type: gsarti/flores_101_tel | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.807499987508966 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_tgk | |
| type: gsarti/flores_101_tgk | |
| metrics: | |
| - type: byte_perplexity | |
| value: 3.5994818827380426 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_tgl | |
| type: gsarti/flores_101_tgl | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.667053833119858 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_tha | |
| type: gsarti/flores_101_tha | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.365940201944242 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_tur | |
| type: gsarti/flores_101_tur | |
| metrics: | |
| - type: byte_perplexity | |
| value: 4.885014749844601 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_ukr | |
| type: gsarti/flores_101_ukr | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.7240934990288483 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_umb | |
| type: gsarti/flores_101_umb | |
| metrics: | |
| - type: byte_perplexity | |
| value: 12.766915508610673 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_urd | |
| type: gsarti/flores_101_urd | |
| metrics: | |
| - type: byte_perplexity | |
| value: 1.9797467071381232 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_uzb | |
| type: gsarti/flores_101_uzb | |
| metrics: | |
| - type: byte_perplexity | |
| value: 12.002337637722146 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_vie | |
| type: gsarti/flores_101_vie | |
| metrics: | |
| - type: byte_perplexity | |
| value: 1.76578415476397 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_wol | |
| type: gsarti/flores_101_wol | |
| metrics: | |
| - type: byte_perplexity | |
| value: 9.144285650306488 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_xho | |
| type: gsarti/flores_101_xho | |
| metrics: | |
| - type: byte_perplexity | |
| value: 7.403240538286952 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_yor | |
| type: gsarti/flores_101_yor | |
| metrics: | |
| - type: byte_perplexity | |
| value: 5.91272037551173 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_zho_simpl | |
| type: gsarti/flores_101_zho_simpl | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.2769070822768533 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_zho_trad | |
| type: gsarti/flores_101_zho_trad | |
| metrics: | |
| - type: byte_perplexity | |
| value: 2.5180582198242383 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: gsarti/flores_101_zul | |
| type: gsarti/flores_101_zul | |
| metrics: | |
| - type: byte_perplexity | |
| value: 8.53353320693145 | |
| name: byte_perplexity | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: headqa | |
| type: headqa | |
| metrics: | |
| - type: acc | |
| value: 0.26440554339897887 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: hellaswag | |
| type: hellaswag | |
| metrics: | |
| - type: acc | |
| value: 0.41236805417247563 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: logiqa | |
| type: logiqa | |
| metrics: | |
| - type: acc | |
| value: 0.2073732718894009 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: mathqa | |
| type: mathqa | |
| metrics: | |
| - type: acc | |
| value: 0.24958123953098826 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: mc_taco | |
| type: mc_taco | |
| metrics: | |
| - type: em | |
| value: 0.11936936936936937 | |
| name: em | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: mnli | |
| type: mnli | |
| metrics: | |
| - type: acc | |
| value: 0.35496688741721855 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: mnli_mismatched | |
| type: mnli_mismatched | |
| metrics: | |
| - type: acc | |
| value: 0.35211554109031734 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: mrpc | |
| type: mrpc | |
| metrics: | |
| - type: acc | |
| value: 0.5857843137254902 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: multirc | |
| type: multirc | |
| metrics: | |
| - type: acc | |
| value: 0.5375412541254125 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: openbookqa | |
| type: openbookqa | |
| metrics: | |
| - type: acc | |
| value: 0.216 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: piqa | |
| type: piqa | |
| metrics: | |
| - type: acc | |
| value: 0.7078346028291621 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: prost | |
| type: prost | |
| metrics: | |
| - type: acc | |
| value: 0.22683603757472245 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: pubmedqa | |
| type: pubmedqa | |
| metrics: | |
| - type: acc | |
| value: 0.616 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: qnli | |
| type: qnli | |
| metrics: | |
| - type: acc | |
| value: 0.5072304594545122 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: qqp | |
| type: qqp | |
| metrics: | |
| - type: acc | |
| value: 0.3842443729903537 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: race | |
| type: race | |
| metrics: | |
| - type: acc | |
| value: 0.3521531100478469 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: rte | |
| type: rte | |
| metrics: | |
| - type: acc | |
| value: 0.47653429602888087 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: sciq | |
| type: sciq | |
| metrics: | |
| - type: acc | |
| value: 0.892 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: sst | |
| type: sst | |
| metrics: | |
| - type: acc | |
| value: 0.5177752293577982 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: triviaqa | |
| type: triviaqa | |
| metrics: | |
| - type: acc | |
| value: 0.041633518960487934 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: tydiqa_primary | |
| type: tydiqa_primary | |
| metrics: | |
| - type: acc | |
| value: 0.3011337608795236 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: webqs | |
| type: webqs | |
| metrics: | |
| - type: acc | |
| value: 0.01673228346456693 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: wic | |
| type: wic | |
| metrics: | |
| - type: acc | |
| value: 0.5015673981191222 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: winogrande | |
| type: winogrande | |
| metrics: | |
| - type: acc | |
| value: 0.5864246250986582 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: wnli | |
| type: wnli | |
| metrics: | |
| - type: acc | |
| value: 0.471830985915493 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: wsc | |
| type: wsc | |
| metrics: | |
| - type: acc | |
| value: 0.4423076923076923 | |
| name: acc | |
| verified: false | |
| - task: | |
| type: text-generation | |
| name: text generation | |
| dataset: | |
| name: humaneval | |
| type: humaneval | |
| metrics: | |
| - type: pass@1 | |
| value: 0.15524390243902436 | |
| name: pass@1 | |
| verified: false | |
| - type: pass@10 | |
| value: 0.3220367632383857 | |
| name: pass@10 | |
| verified: false | |
| - type: pass@100 | |
| value: 0.5545431515723145 | |
| name: pass@100 | |
| verified: false | |
| <div style="width: auto; margin-left: auto; margin-right: auto"> | |
| <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> | |
| </div> | |
| [](https://tensorblock.co) | |
| [](https://twitter.com/tensorblock_aoi) | |
| [](https://discord.gg/Ej5NmeHFf2) | |
| [](https://github.com/TensorBlock) | |
| [](https://t.me/TensorBlock) | |
| ## bigscience/bloom-3b - GGUF | |
| This repo contains GGUF format model files for [bigscience/bloom-3b](https://huggingface.co/bigscience/bloom-3b). | |
| The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d). | |
| ## Our projects | |
| <table border="1" cellspacing="0" cellpadding="10"> | |
| <tr> | |
| <th colspan="2" style="font-size: 25px;">Forge</th> | |
| </tr> | |
| <tr> | |
| <th colspan="2"> | |
| <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/> | |
| </th> | |
| </tr> | |
| <tr> | |
| <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th> | |
| </tr> | |
| <tr> | |
| <th colspan="2"> | |
| <a href="https://github.com/TensorBlock/forge" target="_blank" style=" | |
| display: inline-block; | |
| padding: 8px 16px; | |
| background-color: #FF7F50; | |
| color: white; | |
| text-decoration: none; | |
| border-radius: 6px; | |
| font-weight: bold; | |
| font-family: sans-serif; | |
| ">π Try it now! π</a> | |
| </th> | |
| </tr> | |
| <tr> | |
| <th style="font-size: 25px;">Awesome MCP Servers</th> | |
| <th style="font-size: 25px;">TensorBlock Studio</th> | |
| </tr> | |
| <tr> | |
| <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th> | |
| <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th> | |
| </tr> | |
| <tr> | |
| <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> | |
| <th>A lightweight, open, and extensible multi-LLM interaction studio.</th> | |
| </tr> | |
| <tr> | |
| <th> | |
| <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style=" | |
| display: inline-block; | |
| padding: 8px 16px; | |
| background-color: #FF7F50; | |
| color: white; | |
| text-decoration: none; | |
| border-radius: 6px; | |
| font-weight: bold; | |
| font-family: sans-serif; | |
| ">π See what we built π</a> | |
| </th> | |
| <th> | |
| <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style=" | |
| display: inline-block; | |
| padding: 8px 16px; | |
| background-color: #FF7F50; | |
| color: white; | |
| text-decoration: none; | |
| border-radius: 6px; | |
| font-weight: bold; | |
| font-family: sans-serif; | |
| ">π See what we built π</a> | |
| </th> | |
| </tr> | |
| </table> | |
| ## Prompt template | |
| ``` | |
| ``` | |
| ## Model file specification | |
| | Filename | Quant type | File Size | Description | | |
| | -------- | ---------- | --------- | ----------- | | |
| | [bloom-3b-Q2_K.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q2_K.gguf) | Q2_K | 1.516 GB | smallest, significant quality loss - not recommended for most purposes | | |
| | [bloom-3b-Q3_K_S.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q3_K_S.gguf) | Q3_K_S | 1.707 GB | very small, high quality loss | | |
| | [bloom-3b-Q3_K_M.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q3_K_M.gguf) | Q3_K_M | 1.905 GB | very small, high quality loss | | |
| | [bloom-3b-Q3_K_L.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q3_K_L.gguf) | Q3_K_L | 2.016 GB | small, substantial quality loss | | |
| | [bloom-3b-Q4_0.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q4_0.gguf) | Q4_0 | 2.079 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | |
| | [bloom-3b-Q4_K_S.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q4_K_S.gguf) | Q4_K_S | 2.088 GB | small, greater quality loss | | |
| | [bloom-3b-Q4_K_M.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q4_K_M.gguf) | Q4_K_M | 2.235 GB | medium, balanced quality - recommended | | |
| | [bloom-3b-Q5_0.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q5_0.gguf) | Q5_0 | 2.428 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | |
| | [bloom-3b-Q5_K_S.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q5_K_S.gguf) | Q5_K_S | 2.428 GB | large, low quality loss - recommended | | |
| | [bloom-3b-Q5_K_M.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q5_K_M.gguf) | Q5_K_M | 2.546 GB | large, very low quality loss - recommended | | |
| | [bloom-3b-Q6_K.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q6_K.gguf) | Q6_K | 2.799 GB | very large, extremely low quality loss | | |
| | [bloom-3b-Q8_0.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/blob/main/bloom-3b-Q8_0.gguf) | Q8_0 | 3.621 GB | very large, extremely low quality loss - not recommended | | |
| ## Downloading instruction | |
| ### Command line | |
| Firstly, install Huggingface Client | |
| ```shell | |
| pip install -U "huggingface_hub[cli]" | |
| ``` | |
| Then, downoad the individual model file the a local directory | |
| ```shell | |
| huggingface-cli download tensorblock/bloom-3b-GGUF --include "bloom-3b-Q2_K.gguf" --local-dir MY_LOCAL_DIR | |
| ``` | |
| If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: | |
| ```shell | |
| huggingface-cli download tensorblock/bloom-3b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' | |
| ``` | |