Text Generation
Transformers
Safetensors
English
mistral
quantized
awq
4bit
safety-evaluation
banterhearts
text-generation-inference
4-bit precision
conversational
compressed-tensors
Instructions to use Crusadersk/mistral-7b-awq-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Crusadersk/mistral-7b-awq-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Crusadersk/mistral-7b-awq-4bit") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Crusadersk/mistral-7b-awq-4bit") model = AutoModelForCausalLM.from_pretrained("Crusadersk/mistral-7b-awq-4bit", 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Crusadersk/mistral-7b-awq-4bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Crusadersk/mistral-7b-awq-4bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Crusadersk/mistral-7b-awq-4bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Crusadersk/mistral-7b-awq-4bit
- SGLang
How to use Crusadersk/mistral-7b-awq-4bit 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 "Crusadersk/mistral-7b-awq-4bit" \ --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": "Crusadersk/mistral-7b-awq-4bit", "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 "Crusadersk/mistral-7b-awq-4bit" \ --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": "Crusadersk/mistral-7b-awq-4bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Crusadersk/mistral-7b-awq-4bit with Docker Model Runner:
docker model run hf.co/Crusadersk/mistral-7b-awq-4bit
Upload Mistral 7B AWQ 4-bit checkpoint from TR142
Browse files- chat_template.jinja +87 -0
- config.json +63 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- quantize_manifest.json +14 -0
- recipe.yaml +22 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
chat_template.jinja
ADDED
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@@ -0,0 +1,87 @@
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| 1 |
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{%- if messages[0]["role"] == "system" %}
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{%- set system_message = messages[0]["content"] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
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{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
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{%- set ns = namespace() %}
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{%- set ns.index = 0 %}
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{%- for message in loop_messages %}
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{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
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{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
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{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif %}
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{%- set ns.index = ns.index + 1 %}
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{%- endif %}
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{%- endfor %}
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{{- bos_token }}
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{%- for message in loop_messages %}
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{%- if message["role"] == "user" %}
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{%- if tools is not none and (message == user_messages[-1]) %}
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{{- "[AVAILABLE_TOOLS] [" }}
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{%- for tool in tools %}
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{%- set tool = tool.function %}
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{{- '{"type": "function", "function": {' }}
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{%- for key, val in tool.items() if key != "return" %}
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{%- if val is string %}
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{{- '"' + key + '": "' + val + '"' }}
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{%- else %}
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{{- '"' + key + '": ' + val|tojson }}
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{%- endif %}
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{%- if not loop.last %}
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{{- ", " }}
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{%- endif %}
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{%- endfor %}
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{{- "}}" }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- else %}
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{{- "]" }}
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{%- endif %}
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{%- endfor %}
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{{- "[/AVAILABLE_TOOLS]" }}
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{%- endif %}
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{%- if loop.last and system_message is defined %}
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{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
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{%- else %}
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{{- "[INST] " + message["content"] + "[/INST]" }}
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{%- endif %}
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{%- elif message.tool_calls is defined and message.tool_calls is not none %}
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{{- "[TOOL_CALLS] [" }}
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{%- for tool_call in message.tool_calls %}
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{%- set out = tool_call.function|tojson %}
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{{- out[:-1] }}
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{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
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{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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{%- endif %}
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{{- ', "id": "' + tool_call.id + '"}' }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- else %}
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{{- "]" + eos_token }}
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{%- endif %}
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{%- endfor %}
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{%- elif message["role"] == "assistant" %}
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{{- " " + message["content"]|trim + eos_token}}
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{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
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{%- if message.content is defined and message.content.content is defined %}
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{%- set content = message.content.content %}
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{%- else %}
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{%- set content = message.content %}
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{%- endif %}
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{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
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{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
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{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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{%- endif %}
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{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
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{%- else %}
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{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
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{%- endif %}
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{%- endfor %}
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config.json
ADDED
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{
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| 2 |
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"architectures": [
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"MistralForCausalLM"
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],
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| 5 |
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"attention_dropout": 0.0,
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| 6 |
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"bos_token_id": 1,
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| 7 |
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"dtype": "bfloat16",
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| 8 |
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"eos_token_id": 2,
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| 9 |
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"head_dim": null,
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| 10 |
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"hidden_act": "silu",
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| 11 |
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"hidden_size": 4096,
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| 12 |
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"initializer_range": 0.02,
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| 13 |
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"intermediate_size": 14336,
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| 14 |
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"max_position_embeddings": 32768,
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| 15 |
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"model_type": "mistral",
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| 16 |
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"num_attention_heads": 32,
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| 17 |
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"num_hidden_layers": 32,
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| 18 |
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"num_key_value_heads": 8,
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| 19 |
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"quantization_config": {
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| 20 |
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"config_groups": {
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| 21 |
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"group_0": {
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| 22 |
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"format": "pack-quantized",
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| 23 |
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"input_activations": null,
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| 24 |
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"output_activations": null,
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| 25 |
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"targets": [
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| 26 |
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"Linear"
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| 27 |
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],
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| 28 |
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"weights": {
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| 29 |
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"actorder": null,
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| 30 |
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"block_structure": null,
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| 31 |
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"dynamic": false,
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| 32 |
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"group_size": 128,
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| 33 |
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"num_bits": 4,
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| 34 |
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"observer": "memoryless_minmax",
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| 35 |
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"observer_kwargs": {},
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| 36 |
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"scale_dtype": null,
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| 37 |
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"strategy": "group",
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| 38 |
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"symmetric": false,
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| 39 |
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"type": "int",
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| 40 |
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"zp_dtype": "torch.int8"
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| 41 |
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}
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| 42 |
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}
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| 43 |
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},
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| 44 |
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"format": "pack-quantized",
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| 45 |
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"global_compression_ratio": null,
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| 46 |
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"ignore": [
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| 47 |
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"lm_head"
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| 48 |
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],
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| 49 |
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"kv_cache_scheme": null,
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| 50 |
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"quant_method": "compressed-tensors",
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| 51 |
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"quantization_status": "compressed",
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| 52 |
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"sparsity_config": {},
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| 53 |
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"transform_config": {},
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| 54 |
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"version": "0.14.0.1"
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| 55 |
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},
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| 56 |
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"rms_norm_eps": 1e-05,
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| 57 |
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"rope_theta": 1000000.0,
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| 58 |
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"sliding_window": null,
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| 59 |
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"tie_word_embeddings": false,
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| 60 |
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"transformers_version": "4.57.6",
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| 61 |
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"use_cache": true,
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| 62 |
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"vocab_size": 32768
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| 63 |
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}
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generation_config.json
ADDED
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{
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| 2 |
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"_from_model_config": true,
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| 3 |
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"bos_token_id": 1,
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| 4 |
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"eos_token_id": 2,
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| 5 |
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"transformers_version": "4.57.6"
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| 6 |
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fcf58536244cc0f9921e5d24a6daeb15370045f1b7905df1912645a75c4ee692
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| 3 |
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size 4163494688
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quantize_manifest.json
ADDED
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@@ -0,0 +1,14 @@
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{
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"model_name": "mistral-7b",
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| 3 |
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"hf_id": "mistralai/Mistral-7B-Instruct-v0.3",
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| 4 |
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"method": "awq",
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| 5 |
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"bits": 4,
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| 6 |
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"group_size": 128,
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| 7 |
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"scheme": "W4A16_ASYM",
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| 8 |
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"calibration_dataset": "Salesforce/wikitext",
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| 9 |
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"calibration_config": "wikitext-103-raw-v1",
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| 10 |
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"calibration_samples": 128,
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| 11 |
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"seed": 42,
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| 12 |
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"elapsed_s": 1003.0728621482849,
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| 13 |
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"tool": "llmcompressor"
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| 14 |
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}
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recipe.yaml
ADDED
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@@ -0,0 +1,22 @@
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default_stage:
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| 2 |
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default_modifiers:
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| 3 |
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AWQModifier:
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| 4 |
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targets: [Linear]
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| 5 |
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ignore: [lm_head]
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| 6 |
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scheme: W4A16_ASYM
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| 7 |
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bypass_divisibility_checks: false
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| 8 |
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mappings:
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| 9 |
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- smooth_layer: re:.*input_layernorm
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| 10 |
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balance_layers: ['re:.*q_proj', 're:.*k_proj', 're:.*v_proj']
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| 11 |
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activation_hook_target: null
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| 12 |
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- smooth_layer: re:.*v_proj
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| 13 |
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balance_layers: ['re:.*o_proj']
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| 14 |
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activation_hook_target: null
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| 15 |
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- smooth_layer: re:.*post_attention_layernorm
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| 16 |
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balance_layers: ['re:.*gate_proj', 're:.*up_proj']
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| 17 |
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activation_hook_target: null
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| 18 |
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- smooth_layer: re:.*up_proj
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| 19 |
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balance_layers: ['re:.*down_proj']
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| 20 |
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activation_hook_target: null
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| 21 |
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duo_scaling: true
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| 22 |
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n_grid: 20
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special_tokens_map.json
ADDED
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@@ -0,0 +1,24 @@
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{
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| 2 |
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"bos_token": {
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| 3 |
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"content": "<s>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
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| 8 |
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},
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| 9 |
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"eos_token": {
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| 10 |
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"content": "</s>",
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": false,
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| 13 |
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"rstrip": false,
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| 14 |
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"single_word": false
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| 15 |
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},
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| 16 |
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"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
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tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
tokenizer_config.json
ADDED
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|
|