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Mistral 7B Claude Chat GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:norquinal/mistral-7... Base model:quantized:norquinal... Dataset:norquinal/claude multi...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-Claude-Chat-GPTQ 

Mistral 7B Claude Chat GPTQ Benchmarks

LLME Score: 0.11802
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Claude Chat GPTQ (TheBloke/Mistral-7B-Claude-Chat-GPTQ)
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Mistral 7B Claude Chat GPTQ Parameters and Internals

Model Type 
mistral
Training Details 
Data Sources:
Norquinal/claude_multiround_chat_1k
Data Volume:
1k samples
Methodology:
Using QLoRA (4-bit precision)
Input Output 
Input Format:
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT:
LLM NameMistral 7B Claude Chat GPTQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-7B-Claude-Chat-GPTQ 
Model NameMistral 7B Claude Chat
Model CreatorAndy B. Norquinal
Base Model(s)  Mistral 7B Claude Chat   Norquinal/Mistral-7B-claude-chat
Model Size7b
Required VRAM4.2 GB
Updated2025-09-14
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-7B-Claude-Chat-GPTQ.

Rank the Mistral 7B Claude Chat GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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