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Dolphin 2.9.2 Mixtral 8x22b AWQ by leptonai

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Dolphin 2.9.2 Mixtral 8x22b AWQ is an open-source language model by leptonai. Features: 140.6b LLM, VRAM: 73.7GB, Context: 64K, MoE, Quantized, LLM Explorer Score: 0.14.

  4-bit   Awq   Conversational   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/leptonai/dolphin-2.9.2-mixtral-8x22b-awq 

Dolphin 2.9.2 Mixtral 8x22b AWQ Benchmarks

LLME Score: 0.13772
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.9.2 Mixtral 8x22b AWQ (leptonai/dolphin-2.9.2-mixtral-8x22b-awq)
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Dolphin 2.9.2 Mixtral 8x22b AWQ Parameters and Internals

LLM NameDolphin 2.9.2 Mixtral 8x22b AWQ
Repository 🤗https://huggingface.co/leptonai/dolphin-2.9.2-mixtral-8x22b-awq 
Model Size140.6b
Required VRAM73.7 GB
Updated2026-05-09
Maintainerleptonai
Model Typemixtral
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   5.0 GB: 3-of-15   5.0 GB: 4-of-15   5.0 GB: 5-of-15   5.0 GB: 6-of-15   5.0 GB: 7-of-15   5.0 GB: 8-of-15   5.0 GB: 9-of-15   5.0 GB: 10-of-15   5.0 GB: 11-of-15   5.0 GB: 12-of-15   5.0 GB: 13-of-15   5.0 GB: 14-of-15   3.7 GB: 15-of-15
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than leptonai/dolphin-2.9.2-mixtral-8x22b-awq.

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