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Model Comparison

huggingfacetb/smollm2-360m-instruct-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

Side-by-side comparison of huggingfacetb/smollm2-360m-instruct-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.

huggingfacetb/smollm2-360m-instruct-gguf

HuggingFaceTB · —

This model was converted to GGUF format from HuggingFaceTB/SmolLM2-360M-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

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

huggingfacetb/smollm2-360m-instruct-gguftvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
AuthorHuggingFaceTBtvall43
Pipeline Task—text-generation
Librarytransformerstransformers
Downloads45,14420,490
Likes4218
LicenseUnknownUnknown
Context Length——
Created2024-10-312026-03-09
Last Modified2024-10-312026-03-09
Tags
transformersggufllama-cppgguf-my-repoenbase_model:HuggingFaceTB/SmolLM2-360M-Instructbase_model:quantized:HuggingFaceTB/SmolLM2-360M-Instructlicense:apache-2.0endpoints_compatibleregion:us
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation

View full details: huggingfacetb/smollm2-360m-instruct-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf