GraySoft
Model Comparison

bartowski/smollm2-1.7b-instruct-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

Side-by-side comparison of bartowski/smollm2-1.7b-instruct-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.

bartowski/smollm2-1.7b-instruct-gguf

bartowski · text-generation

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

bartowski/smollm2-1.7b-instruct-gguftvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Authorbartowskitvall43
Pipeline Tasktext-generationtext-generation
Librarytransformers
Downloads243,38220,490
Likes1918
LicenseUnknownUnknown
Context Length
Created2024-10-312026-03-09
Last Modified2024-10-312026-03-09
Tags
gguftext-generationenbase_model:HuggingFaceTB/SmolLM2-1.7B-Instructbase_model:quantized:HuggingFaceTB/SmolLM2-1.7B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation

View full details: bartowski/smollm2-1.7b-instruct-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf