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171Av5 GGUF by Awesomeluc

 »  All LLMs  »  Awesomeluc  »  171Av5 GGUF   URL Share it on

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  Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Awesomeluc/171Av5-GGUF 

171Av5 GGUF Benchmarks

LLME Score: 0.187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
171Av5 GGUF (Awesomeluc/171Av5-GGUF)

171Av5 GGUF 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.
Training Details 
Methodology:
Finetuning with Huggingface's TRL library
Training Time:
2x faster with Unsloth
LLM Name171Av5 GGUF
Repository 🤗https://huggingface.co/Awesomeluc/171Av5-GGUF 
Base Model(s)  unsloth/mistral-7b-v0.2   unsloth/mistral-7b-v0.2
Model Size7b
Required VRAM5.1 GB
Updated2025-01-15
MaintainerAwesomeluc
Model Typemistral
Model Files  5.1 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.1
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Awesomeluc/171Av5-GGUF.

Rank the 171Av5 GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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