liquidai/lfm2-24b-a2b-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Side-by-side comparison of liquidai/lfm2-24b-a2b-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.
liquidai/lfm2-24b-a2b-gguf
LFM2 is a family of hybrid models designed for on-device deployment. LFM2-24B-A2B is the largest model in the family, scaling the architecture to 24 billion parameters while keeping inference efficient. !image Find more information about LFM2-24B-A2B in our blog post.
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
| liquidai/lfm2-24b-a2b-gguf | tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf | |
|---|---|---|
| Author | LiquidAI | tvall43 |
| Pipeline Task | text-generation | text-generation |
| Library | transformers | transformers |
| Downloads | 56,748 | 20,490 |
| Likes | 122 | 18 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2026-02-17 | 2026-03-09 |
| Last Modified | 2026-03-30 | 2026-03-09 |
| Tags |
View full details: liquidai/lfm2-24b-a2b-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf