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Model Comparison

maziyarpanahi/mixtral-8x22b-v0.1-ggufvsteichai/gemma-4-31b-it-claude-opus-distill-gguf

Side-by-side comparison of maziyarpanahi/mixtral-8x22b-v0.1-gguf and teichai/gemma-4-31b-it-claude-opus-distill-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

teichai/gemma-4-31b-it-claude-opus-distill-gguf

TeichAI · —

> **Build Environment & Features:** > - **Fine-tuning Framework**: **Unsloth** > - **Reasoning Effort**: **High** > - This model bridges the gap between Google's exceptional open-weights architecture and Claude 4.6's profound reasoning capabilities, leveraging cutting-edge fine-…

Side-by-side Specifications

maziyarpanahi/mixtral-8x22b-v0.1-ggufteichai/gemma-4-31b-it-claude-opus-distill-gguf
AuthorMaziyarPanahiTeichAI
Pipeline Tasktext-generation—
Librarytransformers—
Downloads89,597116,922
Likes7563
LicenseUnknownUnknown
Context Length——
Created2024-04-102026-04-03
Last Modified2024-04-152026-04-15
Tags
transformersggufmixtraltext-generationquantized2-bit3-bit4-bit5-bit6-bit
gguftext-generation-inferencellama.cppunslothgemma4reasoningdataset:TeichAI/Claude-Opus-4.6-Reasoning-887xdataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100xdataset:TeichAI/claude-4.5-opus-high-reasoning-250xdataset:Crownelius/Opus-4.6-Reasoning-2100x-formatted

View full details: maziyarpanahi/mixtral-8x22b-v0.1-gguf · teichai/gemma-4-31b-it-claude-opus-distill-gguf