Mistral 7B V0.3 M3 Lora by HachiML

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  Autotrain compatible   Conversational Dataset:hachiml/self-rewarding...   Endpoints compatible   Ja   Lora   Mistral   Region:us   Safetensors   Self-rewarding   Sharded   Tensorflow

Mistral 7B V0.3 M3 Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.3 M3 Lora (HachiML/Mistral-7B-v0.3-m3-lora)

Mistral 7B V0.3 M3 Lora Parameters and Internals

Model Type 
DPO, Mistral-7B
Supported Languages 
Japanese (NLP)
Training Details 
Data Sources:
HachiML/self-rewarding_AIFT_MSv0.3_lora (split=AIFT_M2)
LLM NameMistral 7B V0.3 M3 Lora
Repository ๐Ÿค—https://huggingface.co/HachiML/Mistral-7B-v0.3-m3-lora 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerHachiML
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HachiML/Mistral-7B-v0.3-m3-lora.

Rank the Mistral 7B V0.3 M3 Lora 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227