hugging-quants/llama-3.2-1b-instruct-q8_0-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Side-by-side comparison of hugging-quants/llama-3.2-1b-instruct-q8_0-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.
hugging-quants/llama-3.2-1b-instruct-q8_0-gguf
This model was converted to GGUF format from meta-llama/Llama-3.2-1B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
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
| hugging-quants/llama-3.2-1b-instruct-q8_0-gguf | tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf | |
|---|---|---|
| Author | hugging-quants | tvall43 |
| Pipeline Task | text-generation | text-generation |
| Library | — | transformers |
| Downloads | 850,448 | 20,490 |
| Likes | 46 | 18 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2024-09-25 | 2026-03-09 |
| Last Modified | 2024-09-25 | 2026-03-09 |
| Tags |
View full details: hugging-quants/llama-3.2-1b-instruct-q8_0-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf