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ggml-org/tinygemma3-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

Side-by-side comparison of ggml-org/tinygemma3-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/tinygemma3-gguf

ggml-org · —

This is trained on CIFAR-10 dataset. Used by llama.cpp CI test

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

tvall43 · 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…

Side-by-side Specifications

ggml-org/tinygemma3-gguftvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Authorggml-orgtvall43
Pipeline Tasktext-generation
Librarytransformers
Downloads379,29120,490
Likes818
LicenseUnknownUnknown
Context Length
Created2025-05-062026-03-09
Last Modified2025-05-062026-03-09
Tags
ggufbase_model:ngxson/tinygemma3_cifarbase_model:quantized:ngxson/tinygemma3_cifarlicense:wtfplendpoints_compatibleregion:usconversational
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation

View full details: ggml-org/tinygemma3-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf