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Mixtral 8x22b Instruct Oh EXL2 2.25bpw by Dracones

 »  All LLMs  »  Dracones  »  Mixtral 8x22b Instruct Oh EXL2 2.25bpw   URL Share it on

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  Autotrain compatible Base model:mistral-community/m... Base model:quantized:mistral-c...   Conversational   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Exl2   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Dracones/mixtral-8x22b-instruct-oh_exl2_2.25bpw 

Mixtral 8x22b Instruct Oh EXL2 2.25bpw Benchmarks

LLME Score: 0.18893
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22b Instruct Oh EXL2 2.25bpw (Dracones/mixtral-8x22b-instruct-oh_exl2_2.25bpw)

Mixtral 8x22b Instruct Oh EXL2 2.25bpw Parameters and Internals

Model Type 
text generation
Additional Notes 
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library. If you have problems loading these models, please update Text Generation WebUI to the latest version.
LLM NameMixtral 8x22b Instruct Oh EXL2 2.25bpw
Repository 🤗https://huggingface.co/Dracones/mixtral-8x22b-instruct-oh_exl2_2.25bpw 
Base Model(s)  mistral-community/Mixtral-8x22B-v0.1   mistral-community/Mixtral-8x22B-v0.1
Required VRAM40.1 GB
Updated2024-12-26
MaintainerDracones
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   5.7 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Dracones/mixtral-8x22b-instruct-oh_exl2_2.25bpw.

Rank the Mixtral 8x22b Instruct Oh EXL2 2.25bpw 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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