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Dolphin 2.5 Mixtral 8x7b AWQ by TheBloke

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Dolphin 2.5 Mixtral 8x7b AWQ is an open-source language model by TheBloke. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible   Awq Base model:dphn/dolphin-2.5-mi... Base model:quantized:dphn/dolp...   Conversational   Dataset:ehartford/dolphin Dataset:ehartford/dolphin-code... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2....   Dataset:ldjnr/pure-dove Dataset:migtissera/synthia-v1....   Dataset:teknium/openhermes   En   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/dolphin-2.5-mixtral-8x7b-AWQ 

Dolphin 2.5 Mixtral 8x7b AWQ Benchmarks

LLME Score: 0.11012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.5 Mixtral 8x7b AWQ (TheBloke/dolphin-2.5-mixtral-8x7b-AWQ)
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Dolphin 2.5 Mixtral 8x7b AWQ Parameters and Internals

LLM NameDolphin 2.5 Mixtral 8x7b AWQ
Repository 🤗https://huggingface.co/TheBloke/dolphin-2.5-mixtral-8x7b-AWQ 
Model NameDolphin 2.5 Mixtral 8X7B
Model CreatorEric Hartford
Base Model(s)  ehartford/dolphin-2.5-mixtral-8x7b   ehartford/dolphin-2.5-mixtral-8x7b
Model Size6.5b
Required VRAM24.7 GB
Updated2025-10-26
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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 TheBloke/dolphin-2.5-mixtral-8x7b-AWQ.

Rank the Dolphin 2.5 Mixtral 8x7b AWQ Capabilities

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Instruction Following and Task Automation  
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