GraySoft
Model Comparison

teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

Side-by-side comparison of teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.

teichai/gemma-4-26b-a4b-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-…

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

teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguftvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
AuthorTeichAItvall43
Pipeline Tasktext-generation
Librarytransformers
Downloads34,35420,490
Likes3718
LicenseUnknownUnknown
Context Length
Created2026-04-042026-03-09
Last Modified2026-04-152026-03-09
Tags
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:TeichAI/Claude-Opus-4.6-Reasoning-500x
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation

View full details: teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf