Model Comparison
dat-lequoc/fast-apply-1.5b-v1.0_ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Side-by-side comparison of dat-lequoc/fast-apply-1.5b-v1.0_gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.
dat-lequoc/fast-apply-1.5b-v1.0_gguf
dat-lequoc · —
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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
| dat-lequoc/fast-apply-1.5b-v1.0_gguf | tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf | |
|---|---|---|
| Author | dat-lequoc | tvall43 |
| Pipeline Task | — | text-generation |
| Library | transformers | transformers |
| Downloads | 34,562 | 20,490 |
| Likes | 3 | 18 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2024-10-24 | 2026-03-09 |
| Last Modified | 2024-10-24 | 2026-03-09 |
| Tags |
View full details: dat-lequoc/fast-apply-1.5b-v1.0_gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf