Mixtral Quantized by alquimista888

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  Arxiv:2310.06825   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Gguf   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mixtral Quantized Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral Quantized (alquimista888/mixtral_quantized)

Mixtral Quantized Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model does not have any moderation mechanisms.
Training Details 
Methodology:
Instruction fine-tuning
Context Length:
32000
Input Output 
Input Format:
[INST] {prompt} [/INST]
Output Format:
Text
LLM NameMixtral Quantized
Repository ๐Ÿค—https://huggingface.co/alquimista888/mixtral_quantized 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-12-27
Maintaineralquimista888
Model Typemistral
Model Files  4.4 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   5.1 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than alquimista888/mixtral_quantized.

Rank the Mixtral Quantized 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