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Model Comparison

tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-ggufvsunsloth/minimax-m2.5-gguf

Side-by-side comparison of tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf and unsloth/minimax-m2.5-gguf: downloads, license, context length, tasks, and benchmarks.

tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

tvall43 Β· text-generation

can i fit moe qwen3.5 in 10gb vram? since thats already risky, lets yolo and use claude distil too. 0.65 compression this time. my original goal was 8gb vram but i mathed wrong somewhere. that fits fine on my gpro x080 but not single gpu in the radeon v340l. maybe ill give it an…

unsloth/minimax-m2.5-gguf

unsloth Β· text-generation

To Run MiniMax-M2.5 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. --- Join Our πŸ’¬ WeChat | 🧩 Discord community. MiniMax Agent | ⚑️ API | MCP | MiniMax Website πŸ€— Hugging Face | πŸš€ Hugging Face API | πŸ™ GitHub | πŸ€–οΈ …

Side-by-side Specifications

tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-ggufunsloth/minimax-m2.5-gguf
Authortvall43unsloth
Pipeline Tasktext-generationtext-generation
Librarytransformerstransformers
Downloads20,49084,669
Likes18231
LicenseUnknownUnknown
Context Lengthβ€”β€”
Created2026-03-092026-02-14
Last Modified2026-03-092026-02-14
Tags
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation
transformersggufunslothminimax_m2text-generationbase_model:MiniMaxAI/MiniMax-M2.5base_model:quantized:MiniMaxAI/MiniMax-M2.5license:otherendpoints_compatibleregion:us

View full details: tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf · unsloth/minimax-m2.5-gguf