What are the hardware requirements for Dolphin 2.6 Mixtral 8x7b?

Dolphin 2.6 Mixtral 8x7b requires approximately 93.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolphin 2.6 Mixtral 8x7b and how large is it?

Dolphin 2.6 Mixtral 8x7b is developed by dphn. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Dolphin 2.6 Mixtral 8x7b?

Dolphin 2.6 Mixtral 8x7b is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2.6 Mixtral 8x7b by dphn — VRAM 93.6GB, 32K context

Name: Dolphin 2.6 Mixtral 8x7b
Author: dphn

Dolphin 2.6 Mixtral 8x7b is an open-source language model by dphn. Features: LLM, VRAM: 93.6GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.14.

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 Endpoints compatible Instruct Mixtral Moe Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/dphn/dolphin-2.6-mixtral-8x7b

Dolphin 2.6 Mixtral 8x7b Parameters and Internals

LLM Name	Dolphin 2.6 Mixtral 8x7b
Repository 🤗	https://huggingface.co/dphn/dolphin-2.6-mixtral-8x7b
Required VRAM	93.6 GB
Updated	2026-08-08
Maintainer	dphn
Model Type	mixtral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-19 5.0 GB: 2-of-19 5.0 GB: 3-of-19 4.9 GB: 4-of-19 5.0 GB: 5-of-19 5.0 GB: 6-of-19 4.9 GB: 7-of-19 5.0 GB: 8-of-19 5.0 GB: 9-of-19 4.9 GB: 10-of-19 5.0 GB: 11-of-19 5.0 GB: 12-of-19 5.0 GB: 13-of-19 4.9 GB: 14-of-19 5.0 GB: 15-of-19 5.0 GB: 16-of-19 4.9 GB: 17-of-19 5.0 GB: 18-of-19 4.2 GB: 19-of-19
Supported Languages	en
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Dolphin 2.6 Mixtral 8x7b capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Dolphin 2.6 Mixtral 8x7b

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x22B Instruct V0.1 FP8	64K / 140.9 GB	98	0
Dolphin 2.6 Mixtral 8x7b	32K / 93.6 GB	11285	211
...eqlen 4096 Bs 4 Optimum 0 0 23	32K / GB	8	0
...eqlen 4096 Bs 4 Optimum 0 0 23	32K / GB	9	1
Dolphin 2.7 Mixtral 8x7b	32K / 93.6 GB	2178	170
Empower Functions Medium	32K / 93.6 GB	17	1
Mixtral 8x7B Instruct V0.1	32K / GB	5	0
...ral 8x7b Instruct V0.1 Int4 Ov	32K / 0 GB	16	4
Dolphin 2.7 Mixtral 8x7b	32K / 93.6 GB	228	169
...ct V0.1 Agent Function Calling	32K / 44.3 GB	4	2

Note: green Score (e.g. "73.2") means that the model is better than dphn/dolphin-2.6-mixtral-8x7b.