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Dolphin 2.7 Mixtral 8x7b AWQ by TheBloke

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Dolphin 2.7 Mixtral 8x7b AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4-bit   Awq Base model:dphn/dolphin-2.7-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/capybara   Dataset:teknium/openhermes   Deploy:azure   En   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/dolphin-2.7-mixtral-8x7b-AWQ 

Dolphin 2.7 Mixtral 8x7b AWQ Benchmarks

LLME Score: 0.13835
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.7 Mixtral 8x7b AWQ (TheBloke/dolphin-2.7-mixtral-8x7b-AWQ)
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Dolphin 2.7 Mixtral 8x7b AWQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
This model, being uncensored and highly compliant, requires user-advised alignment handling before deployment as a service. It has undergone retraining with specific fixes aiming to improve performance.
Training Details 
Data Sources:
ehartford/dolphin, jondurbin/airoboros-2.2.1, ehartford/dolphin-coder, teknium/openhermes, ise-uiuc/Magicoder-OSS-Instruct-75K, ise-uiuc/Magicoder-Evol-Instruct-110K, LDJnr/Capybara
Context Length:
32768
Hardware Used:
4x A100s
Model Architecture:
Mixtral-8x7b
LLM NameDolphin 2.7 Mixtral 8x7b AWQ
Repository 🤗https://huggingface.co/TheBloke/dolphin-2.7-mixtral-8x7b-AWQ 
Model NameDolphin 2.7 Mixtral 8X7B
Model CreatorCognitive Computations
Base Model(s)  cognitivecomputations/dolphin-2.7-mixtral-8x7b   cognitivecomputations/dolphin-2.7-mixtral-8x7b
Model Size46.7b
Required VRAM24.7 GB
Updated2026-04-12
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-2.7-mixtral-8x7b-AWQ.

Rank the Dolphin 2.7 Mixtral 8x7b AWQ 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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