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Model Comparison

maziyarpanahi/mixtral-8x22b-v0.1-ggufvsunsloth/minimax-m2.7-gguf

Side-by-side comparison of maziyarpanahi/mixtral-8x22b-v0.1-gguf and unsloth/minimax-m2.7-gguf: downloads, license, context length, tasks, and benchmarks.

maziyarpanahi/mixtral-8x22b-v0.1-gguf

MaziyarPanahi · text-generation

On April 10th, @MistralAI released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent): The GGUF and quantized models here are based on v2ray/Mixtral-8x22B-v0.1 model

unsloth/minimax-m2.7-gguf

unsloth · text-generation

See how to run MiniMax-M2.7 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. You can follow instructions in our guide here. Do NOT use CUDA 13.2 to run GGUFs. --- Join Our 💬 WeChat | 🧩 Discord community. MiniMax Agent…

Side-by-side Specifications

maziyarpanahi/mixtral-8x22b-v0.1-ggufunsloth/minimax-m2.7-gguf
AuthorMaziyarPanahiunsloth
Pipeline Tasktext-generationtext-generation
Librarytransformers
Downloads89,59756,638
Likes75125
LicenseUnknownUnknown
Context Length
Created2024-04-102026-04-11
Last Modified2024-04-152026-04-14
Tags
transformersggufmixtraltext-generationquantized2-bit3-bit4-bit5-bit6-bit
ggufminimax_m2unslothtext-generationbase_model:MiniMaxAI/MiniMax-M2.7base_model:quantized:MiniMaxAI/MiniMax-M2.7license:otherendpoints_compatibleregion:usconversational

View full details: maziyarpanahi/mixtral-8x22b-v0.1-gguf · unsloth/minimax-m2.7-gguf