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Wukong Mistral 7B V0.3 by RESMPDEV

 »  All LLMs  »  RESMPDEV  »  Wukong Mistral 7B V0.3   URL Share it on

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  Autotrain compatible   Conversational Dataset:cognitivecomputations/...   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RESMPDEV/Wukong-Mistral-7B-v0.3 

Wukong Mistral 7B V0.3 Benchmarks

LLME Score: 0.18906
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wukong Mistral 7B V0.3 (RESMPDEV/Wukong-Mistral-7B-v0.3)

Wukong Mistral 7B V0.3 Parameters and Internals

Model Type 
large language model, fine-tuned
Additional Notes 
The model is a fine-tune of the Mistral v0.3 with an extended vocabulary to 32768. It demonstrates compelling performance although it doesn't have moderation mechanisms yet.
Training Details 
Data Sources:
Cognitive Computations Dolphin 2.9
LLM NameWukong Mistral 7B V0.3
Repository 🤗https://huggingface.co/RESMPDEV/Wukong-Mistral-7B-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerRESMPDEV
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32770
Torch Data Typebfloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than RESMPDEV/Wukong-Mistral-7B-v0.3.

Rank the Wukong Mistral 7B V0.3 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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