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Mistral C2F 7B by zhengchenphd

 »  All LLMs  »  zhengchenphd  »  Mistral C2F 7B   URL Share it on

  20   
  Arxiv:2406.08657   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zhengchenphd/Mistral-C2F-7B 

Mistral C2F 7B Benchmarks

LLME Score: 0.19293
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral C2F 7B (zhengchenphd/Mistral-C2F-7B)

Mistral C2F 7B Parameters and Internals

Use Cases 
Applications:
chatbots, conversational tasks, customer service, intelligent assistant
LLM NameMistral C2F 7B
Repository 🤗https://huggingface.co/zhengchenphd/Mistral-C2F-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerzhengchenphd
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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MegaBeam Mistral 7B 512K512K / 14.4 GB568150
SpydazWeb AI HumanAI RP512K / 14.4 GB121
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB563316
Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than zhengchenphd/Mistral-C2F-7B.

Rank the Mistral C2F 7B 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 v20241227
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