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Model Comparison

rippertnt/hyperclovax-seed-text-instruct-1.5b-q4_k_m-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

Side-by-side comparison of rippertnt/hyperclovax-seed-text-instruct-1.5b-q4_k_m-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.

rippertnt/hyperclovax-seed-text-instruct-1.5b-q4_k_m-gguf

rippertnt · —

This model was converted to GGUF format from naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5B 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

rippertnt/hyperclovax-seed-text-instruct-1.5b-q4_k_m-gguftvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Authorrippertnttvall43
Pipeline Task—text-generation
Library—transformers
Downloads62,48020,490
Likes318
LicenseUnknownUnknown
Context Length——
Created2025-04-242026-03-09
Last Modified2025-04-282026-03-09
Tags
ggufllamallama-cppgguf-my-repobase_model:naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5Bbase_model:quantized:naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5Blicense:otherendpoints_compatibleregion:usconversational
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation

View full details: rippertnt/hyperclovax-seed-text-instruct-1.5b-q4_k_m-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf