Text Generation
Transformers
Safetensors
GGUF
English
Italian
qwen2
heretic
reasoning
coding
agent
qwen
code
local
vectionlabs
custom-code
fast
coder
conversational
text-generation-inference
Instructions to use haffner/VL-1-Coder-Heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haffner/VL-1-Coder-Heretic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="haffner/VL-1-Coder-Heretic") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("haffner/VL-1-Coder-Heretic") model = AutoModelForCausalLM.from_pretrained("haffner/VL-1-Coder-Heretic", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - llama-cpp-python
How to use haffner/VL-1-Coder-Heretic with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="haffner/VL-1-Coder-Heretic", filename="VL-1-Coder-heretic-BF16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use haffner/VL-1-Coder-Heretic 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 haffner/VL-1-Coder-Heretic:BF16 # Run inference directly in the terminal: llama cli -hf haffner/VL-1-Coder-Heretic:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf haffner/VL-1-Coder-Heretic:BF16 # Run inference directly in the terminal: llama cli -hf haffner/VL-1-Coder-Heretic:BF16
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 haffner/VL-1-Coder-Heretic:BF16 # Run inference directly in the terminal: ./llama-cli -hf haffner/VL-1-Coder-Heretic:BF16
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 haffner/VL-1-Coder-Heretic:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf haffner/VL-1-Coder-Heretic:BF16
Use Docker
docker model run hf.co/haffner/VL-1-Coder-Heretic:BF16
- LM Studio
- Jan
- vLLM
How to use haffner/VL-1-Coder-Heretic with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "haffner/VL-1-Coder-Heretic" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "haffner/VL-1-Coder-Heretic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/haffner/VL-1-Coder-Heretic:BF16
- SGLang
How to use haffner/VL-1-Coder-Heretic with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "haffner/VL-1-Coder-Heretic" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "haffner/VL-1-Coder-Heretic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "haffner/VL-1-Coder-Heretic" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "haffner/VL-1-Coder-Heretic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use haffner/VL-1-Coder-Heretic with Ollama:
ollama run hf.co/haffner/VL-1-Coder-Heretic:BF16
- Unsloth Studio
How to use haffner/VL-1-Coder-Heretic 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 haffner/VL-1-Coder-Heretic 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 haffner/VL-1-Coder-Heretic to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for haffner/VL-1-Coder-Heretic to start chatting
- Pi
How to use haffner/VL-1-Coder-Heretic with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf haffner/VL-1-Coder-Heretic:BF16
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "haffner/VL-1-Coder-Heretic:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use haffner/VL-1-Coder-Heretic with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf haffner/VL-1-Coder-Heretic:BF16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default haffner/VL-1-Coder-Heretic:BF16
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use haffner/VL-1-Coder-Heretic with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf haffner/VL-1-Coder-Heretic:BF16
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "haffner/VL-1-Coder-Heretic:BF16" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use haffner/VL-1-Coder-Heretic with Docker Model Runner:
docker model run hf.co/haffner/VL-1-Coder-Heretic:BF16
- Lemonade
How to use haffner/VL-1-Coder-Heretic with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull haffner/VL-1-Coder-Heretic:BF16
Run and chat with the model
lemonade run user.VL-1-Coder-Heretic-BF16
List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- .gitattributes +20 -0
- VL-1-Coder-heretic-BF16.gguf +3 -0
- VL-1-Coder-heretic_IQ3_M.gguf +3 -0
- VL-1-Coder-heretic_IQ3_S.gguf +3 -0
- VL-1-Coder-heretic_IQ4_NL.gguf +3 -0
- VL-1-Coder-heretic_IQ4_XS.gguf +3 -0
- VL-1-Coder-heretic_Q1_0.gguf +3 -0
- VL-1-Coder-heretic_Q2_K.gguf +3 -0
- VL-1-Coder-heretic_Q3_K_L.gguf +3 -0
- VL-1-Coder-heretic_Q3_K_M.gguf +3 -0
- VL-1-Coder-heretic_Q3_K_S.gguf +3 -0
- VL-1-Coder-heretic_Q4_1.gguf +3 -0
- VL-1-Coder-heretic_Q5_0.gguf +3 -0
- VL-1-Coder-heretic_Q5_1.gguf +3 -0
- VL-1-Coder-heretic_Q5_K_M.gguf +3 -0
- VL-1-Coder-heretic_Q5_K_S.gguf +3 -0
- VL-1-Coder-heretic_Q6_K.gguf +3 -0
- VL-1-Coder-heretic_Q8_0.gguf +3 -0
- VL-1-Coder-heretic_TQ1_0.gguf +3 -0
- VL-1-Coder-heretic_TQ2_0.gguf +3 -0
- VLCoderBannerHeretic.jpg +0 -0
- chat_template.jinja +54 -0
- config.json +61 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +347 -0
- readme.md +112 -0
- tokenizer.json +3 -0
- tokenizer_config.json +22 -0
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2c85eb87d9aa708d329e1953dda911d2d74d2727a55f5ec8c3ee6c034ab25dcc
|
| 3 |
+
size 2443216608
|
VLCoderBannerHeretic.jpg
ADDED
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
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|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 3584,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 18944,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention"
|
| 42 |
+
],
|
| 43 |
+
"max_position_embeddings": 32768,
|
| 44 |
+
"max_window_layers": 28,
|
| 45 |
+
"model_type": "qwen2",
|
| 46 |
+
"num_attention_heads": 28,
|
| 47 |
+
"num_hidden_layers": 28,
|
| 48 |
+
"num_key_value_heads": 4,
|
| 49 |
+
"pad_token_id": null,
|
| 50 |
+
"rms_norm_eps": 1e-06,
|
| 51 |
+
"rope_parameters": {
|
| 52 |
+
"rope_theta": 1000000.0,
|
| 53 |
+
"rope_type": "default"
|
| 54 |
+
},
|
| 55 |
+
"sliding_window": null,
|
| 56 |
+
"tie_word_embeddings": false,
|
| 57 |
+
"transformers_version": "5.10.0.dev0",
|
| 58 |
+
"use_cache": true,
|
| 59 |
+
"use_sliding_window": false,
|
| 60 |
+
"vocab_size": 152064
|
| 61 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"transformers_version": "5.10.0.dev0",
|
| 6 |
+
"use_cache": true
|
| 7 |
+
}
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b13d317fb9ba430e392e934e3b1ef607cc8acf170d12975049a4060757d6d22c
|
| 3 |
+
size 4976698728
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36f666242748ea654f60d39ab040b09ad0d9e9f2c3bcde7e205617fc9673fe14
|
| 3 |
+
size 4932750984
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4fa3825abe1b709af353a703de30240ac78d836935b32f12beb569d489a847f9
|
| 3 |
+
size 4991495880
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f0f343e0a544905fc61cd1f3733d4fc27058b4d10c755ae62354e12df379185a
|
| 3 |
+
size 330326248
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,347 @@
|
|
|
|
|
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|
|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 7615616512,
|
| 4 |
+
"total_size": 15231233024
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"lm_head.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
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}
|
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| 1 |
+
\---
|
| 2 |
+
|
| 3 |
+
base\_model: vectionlabs/VL-1-Coder
|
| 4 |
+
|
| 5 |
+
library\_name: transformers
|
| 6 |
+
|
| 7 |
+
license: apache-2.0
|
| 8 |
+
|
| 9 |
+
haffner:
|
| 10 |
+
|
| 11 |
+
  readme\_rev: 1
|
| 12 |
+
|
| 13 |
+
quantized\_by: haffner
|
| 14 |
+
|
| 15 |
+
tags:
|
| 16 |
+
|
| 17 |
+
\- heretic
|
| 18 |
+
|
| 19 |
+
\- reasoning
|
| 20 |
+
|
| 21 |
+
\- coding
|
| 22 |
+
|
| 23 |
+
\- agent
|
| 24 |
+
|
| 25 |
+
\- qwen
|
| 26 |
+
|
| 27 |
+
\- code
|
| 28 |
+
|
| 29 |
+
\- local
|
| 30 |
+
|
| 31 |
+
\- vectionlabs
|
| 32 |
+
|
| 33 |
+
\- text-generation
|
| 34 |
+
|
| 35 |
+
\- custom-code
|
| 36 |
+
|
| 37 |
+
\- fast
|
| 38 |
+
|
| 39 |
+
\- coder
|
| 40 |
+
|
| 41 |
+
language:
|
| 42 |
+
|
| 43 |
+
\- en
|
| 44 |
+
|
| 45 |
+
\- it
|
| 46 |
+
|
| 47 |
+
\---
|
| 48 |
+
|
| 49 |
+
\## About
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
<p align="center">
|
| 54 |
+
|
| 55 |
+
  <img src="VLCoderBannerHeretic.jpg" width="100%">
|
| 56 |
+
|
| 57 |
+
</p>
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
<!-- ### quantize\\\_version: 2 -->
|
| 62 |
+
|
| 63 |
+
<!-- ### output\\\_tensor\\\_quantised: 1 -->
|
| 64 |
+
|
| 65 |
+
<!-- ### convert\\\_type: hf -->
|
| 66 |
+
|
| 67 |
+
<!-- ### tags: -->
|
| 68 |
+
|
| 69 |
+
<!-- ### quants: BF16 Q8\\\_0 Q6\\\_K Q5\\\_1 Q5\\\_K\\\_M Q5\\\_K\\\_S Q5\\\_0 Q4\\\_1 IQ4\\\_NL IQ4\\\_XS IQ3\\\_M IQ3\\\_S Q3\\\_K\\\_S Q3\\\_K\\\_M Q3\\\_K\\\_L Q2\_K TQ2\_0 TQ1\_0 Q1\_0
|
| 70 |
+
|
| 71 |
+
<!-- ### quants\\\_skip: -->
|
| 72 |
+
|
| 73 |
+
<!-- ### skip\\\_mmproj: -->
|
| 74 |
+
|
| 75 |
+
Heretic'ed quants of https://huggingface.co/vectionlabs/VL-1-Coder
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
<!-- provided-files -->
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
Refusals: 2/100, KL divergence: 0.0350
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
\* Parameters:
|
| 88 |
+
|
| 89 |
+
  \* direction\_index = 23.30
|
| 90 |
+
|
| 91 |
+
  \* attn.o\_proj.max\_weight = 1.49
|
| 92 |
+
|
| 93 |
+
  \* attn.o\_proj.max\_weight\_position = 17.90
|
| 94 |
+
|
| 95 |
+
  \* attn.o\_proj.min\_weight = 1.47
|
| 96 |
+
|
| 97 |
+
  \* attn.o\_proj.min\_weight\_distance = 13.71
|
| 98 |
+
|
| 99 |
+
  \* mlp.down\_proj.max\_weight = 1.44
|
| 100 |
+
|
| 101 |
+
  \* mlp.down\_proj.max\_weight\_position = 23.74
|
| 102 |
+
|
| 103 |
+
  \* mlp.down\_proj.min\_weight = 1.09
|
| 104 |
+
|
| 105 |
+
  \* mlp.down\_proj.min\_weight\_distance = 13.05
|
| 106 |
+
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
<!-- end -->
|
| 110 |
+
|
| 111 |
+
|
| 112 |
+
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7f96da3a872b5e901575b2067c744ad336c3a3d77a21584d20024557b1bd7f0
|
| 3 |
+
size 11422059
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"local_files_only": false,
|
| 10 |
+
"max_length": 1024,
|
| 11 |
+
"model_max_length": 32768,
|
| 12 |
+
"pad_to_multiple_of": null,
|
| 13 |
+
"pad_token": "<|endoftext|>",
|
| 14 |
+
"pad_token_type_id": 0,
|
| 15 |
+
"padding_side": "left",
|
| 16 |
+
"split_special_tokens": false,
|
| 17 |
+
"stride": 0,
|
| 18 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 19 |
+
"truncation_side": "right",
|
| 20 |
+
"truncation_strategy": "longest_first",
|
| 21 |
+
"unk_token": null
|
| 22 |
+
}
|