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Mistral 7B by unsloth

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  Autotrain compatible   Bnb   En   Endpoints compatible   Mistral   Mistral7b   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/mistral-7b 

Mistral 7B Benchmarks

LLME Score: 0.19072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B (unsloth/mistral-7b)

Mistral 7B Parameters and Internals

Model Type 
transformers
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Completion, Conversational Agents
Additional Notes 
The model can be finetuned through free and beginner-friendly notebooks on platforms like Colab or Kaggle.
Training Details 
Methodology:
Finetuning via Unsloth
LLM NameMistral 7B
Repository 🤗https://huggingface.co/unsloth/mistral-7b 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-21
Maintainerunsloth
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B

Model
Likes
Downloads
VRAM
Mistral PPP GGUF074 GB
Legal Summarizer02914 GB

Best Alternatives to Mistral 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB26689
MegaBeam Mistral 7B 512K512K / 14.4 GB715646
SpydazWeb AI HumanAI RP512K / 14.4 GB331
SpydazWeb AI HumanAI 002512K / 14.4 GB201
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB328215
Hebrew Mistral 7B 200K256K / 30 GB319315
Astral 256K 7B V2250K / 14.4 GB190
Astral 256K 7B250K / 14.4 GB160
Boptruth Agatha 7B128K / 14.4 GB4750
Note: green Score (e.g. "73.2") means that the model is better than unsloth/mistral-7b.

Rank the Mistral 7B Capabilities

🆘 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! 🌟

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 v20241217
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