Mistral 7B V0.3 by tung2308

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Lora   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth

Mistral 7B V0.3 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 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMistral 7B V0.3
Repository ๐Ÿค—https://huggingface.co/tung2308/mistral-7b-v0.3 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
Maintainertung2308
Model Files  1.2 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|k_proj|down_proj|o_proj|q_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Mistral 7B V0.3 (tung2308/mistral-7b-v0.3)

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Note: green Score (e.g. "73.2") means that the model is better than tung2308/mistral-7b-v0.3.

Rank the Mistral 7B V0.3 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241110