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Mixtral 8x22b Instruct Oh EXL2 2.25bpw by Dracones

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Mixtral 8x22b Instruct Oh EXL2 2.25bpw is an open-source language model by Dracones. Features: LLM, VRAM: 40.1GB, Context: 64K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

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: 0.12939
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)
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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
Updated2026-03-22
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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...M 2 8x22B Beige 4.0bpw H6 EXL264K / 70.8 GB50
...B Instruct V0.1 8.0bpw H8 EXL264K / 120.2 GB41
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...it MoE 2bitgs8 Metaoffload HQQ32K / 24.1 GB2819
... 4bit MoE 3bit Metaoffload HQQ32K / 22.4 GB213
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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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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