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Mistral 7B Claude Chat by Norquinal

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  Autotrain compatible Dataset:norquinal/claude multi...   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Norquinal/Mistral-7B-claude-chat 

Mistral 7B Claude Chat Benchmarks

LLME Score: 0.12212
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 (Norquinal/Mistral-7B-claude-chat)
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Mistral 7B Claude Chat Parameters and Internals

Model Type 
text generation
Additional Notes 
The model was finetuned to serve in a chat format where an AI assistant provides detailed, polite answers.
Training Details 
Data Sources:
Norquinal/claude_multiround_chat_1k
Methodology:
Fine-tuned using QLoRA (4-bit precision)
Input Output 
Input Format:
Vicuna 1.1 prompt format
LLM NameMistral 7B Claude Chat
Repository 🤗https://huggingface.co/Norquinal/Mistral-7B-claude-chat 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-14
MaintainerNorquinal
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Mistral 7B Claude Chat

Model
Likes
Downloads
VRAM
Mistral 7B Claude Chat GGUF3031813 GB
Mistral 7B Claude Chat GPTQ1164 GB
Mistral 7B Claude Chat AWQ454 GB
Mistral 7B Claude Chat AWQ074 GB

Best Alternatives to Mistral 7B Claude Chat

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB7418
MegaBeam Mistral 7B 512K512K / 14.4 GB901250
SpydazWeb AI HumanAI RP512K / 14.4 GB151
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB807216
Hebrew Mistral 7B 200K256K / 30 GB131115
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Norquinal/Mistral-7B-claude-chat.

Rank the Mistral 7B Claude Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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