Dolphin 2.6 Mixtral 8x7b AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Dolphin 2.6 Mixtral 8x7b AWQ   URL Share it on

Dolphin 2.6 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: 0.11.

  4-bit   Awq Base model:dphn/dolphin-2.6-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   En   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Dolphin 2.6 Mixtral 8x7b AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin 2.6 Mixtral 8x7b AWQ Parameters and Internals

LLM NameDolphin 2.6 Mixtral 8x7b AWQ
Repository 🤗https://huggingface.co/TheBloke/dolphin-2.6-mixtral-8x7b-AWQ 
Model NameDolphin 2.6 Mixtral 8X7B
Model CreatorCognitive Computations
Base Model(s)  cognitivecomputations/dolphin-2.6-mixtral-8x7b   cognitivecomputations/dolphin-2.6-mixtral-8x7b
Model Size46.7b
Required VRAM24.7 GB
Updated2026-04-09
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

Best Alternatives to Dolphin 2.6 Mixtral 8x7b AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB380723
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB50
Mixtral Instruct AWQ32K / 24.7 GB62043
...ixtral Instruct 8x7b Zloss AWQ32K / 24.7 GB82
...0.1 LimaRP ZLoss DARE TIES AWQ32K / 24.7 GB123
...utLM Mixtral 8x7B Instruct AWQ32K / 24.7 GB192
...1 Mixtral 8x7b Instruct V3 AWQ32K / 24.7 GB81
...Mixtral 8x7B V0.1 Dolly15K AWQ32K / 24.7 GB91
Mixtral 8x7B Instruct V0.132K / 93.6 GB6183864670
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB46710
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2.6-mixtral-8x7b-AWQ.

Rank the Dolphin 2.6 Mixtral 8x7b AWQ 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  

What open-source LLMs or SLMs are you in search of? 53089 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a