Cognitive Computations/Mixture of Experts

Cognitive ComputationsDolphin 2.6 Mixtral 8x7B

Dolphin Mixtral — uncensored MoE model. Fast with no content restrictions.

chatcoding
46.7B
Parameters (13B active)
32K
Context length
6
Benchmarks
14
Quantizations
0
Architecture
MoE
Released
2024-01-01
Layers
32
KV Heads
8
Head Dim
128
Family
mistral

Quantization Options

QuantBitsVRAMQuality
IQ3_XXS3.2519.5 GBlow
IQ3_XS3.520.9 GBlow
Q3_K_S3.6421.7 GBlow
IQ3_M3.7622.4 GBlow
Q3_K_M423.8 GBlow
Q3_K_L4.325.6 GBmoderate
IQ4_XS4.4626.5 GBmoderate
Q4_K_S4.6727.7 GBmoderate
Q4_K_M4.8929.0 GBgood
Q5_K_S5.5733.0 GBgood
Q5_K_M5.733.8 GBgood
Q6_K6.5638.8 GBexcellent
Q8_08.550.1 GBlossless
FP161693.9 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN DOLPHIN 2.6 MIXTRAL 8X7B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (6)

IFEval56.0
MMLU-PRO29.9
BBH29.7
MUSR11.1
MATH9.1
GPQA7.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run dolphin-mixtral:8x7b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 5090
32 GB VRAM • 1792 GB/s
NVIDIA
$1999
Apple M1 Max (32GB)
32 GB VRAM • 400 GB/s
APPLE
$1499
Apple M2 Max (32GB)
32 GB VRAM • 400 GB/s
APPLE
$1799
NVIDIA V100 SXM2 32GB
32 GB VRAM • 900 GB/s
NVIDIA
$3500
Apple M2 Pro (32GB)
32 GB VRAM • 200 GB/s
APPLE
$1499
Apple M4 (32GB)
32 GB VRAM • 120 GB/s
APPLE
$1199
NVIDIA Tesla V100 DGXS 32 GB
32 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 PCIe 32 GB
32 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 SXM2 32 GB
32 GB VRAM • 898 GB/s
NVIDIA
NVIDIA Tesla V100 SXM3 32 GB
32 GB VRAM • 981 GB/s
NVIDIA
AMD Radeon Instinct MI60
32 GB VRAM • 1020 GB/s
AMD
NVIDIA Tesla V100S PCIe 32 GB
32 GB VRAM • 1130 GB/s
NVIDIA
AMD Radeon Instinct MI100
32 GB VRAM • 1230 GB/s
AMD
$5000
NVIDIA GeForce RTX 5090
32 GB VRAM • 1790 GB/s
NVIDIA
$1999
NVIDIA Tesla PG500-216
32 GB VRAM • 1130 GB/s
NVIDIA
NVIDIA Tesla PG503-216
32 GB VRAM • 1130 GB/s
NVIDIA

Find the best GPU for Dolphin 2.6 Mixtral 8x7B

Build Hardware for Dolphin 2.6 Mixtral 8x7B

Dolphin Mixtral — uncensored MoE model. Fast with no content restrictions.

▸ SPEC SHEET

Dolphin 2.6 Mixtral 8x7B46.7B MoE.

▸ SPECIFICATIONS
PARAMETERS
46.7B (13B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, coding
RELEASE DATE
2024-01-01
PROVIDER
Cognitive Computations
FAMILY
mistral
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2519.5 GB82%
IQ3_XS3.520.9 GB84%
Q3_K_S3.6421.7 GB85%
IQ3_M3.7622.4 GB86%
Q3_K_M423.8 GB88%
Q3_K_L4.325.6 GB90%
IQ4_XS4.4626.5 GB92%
Q4_K_S4.6727.7 GB93%
Q4_K_M4.8929.0 GB94%
Q5_K_S5.5733.0 GB96%
Q5_K_M5.733.8 GB96%
Q6_K6.5638.8 GB97%
Q8_08.550.1 GB100%
FP161693.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO29.9
MATH9.1
IFEval56.0
BBH29.7
GPQA7.0
MUSR11.1
§ 02RUN COMMAND

Run Dolphin 2.6 Mixtral 8x7B locally with Ollama — needs 29.0 GB VRAM at Q4_K_M:

$ollama run dolphin-mixtral:8x7b