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Model Comparison

tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-ggufvsunsloth/glm-4.6v-flash-gguf

Side-by-side comparison of tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf and unsloth/glm-4.6v-flash-gguf: downloads, license, context length, tasks, and benchmarks.

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…

unsloth/glm-4.6v-flash-gguf

unsloth · image-text-to-text

This model is part of the GLM-V family of models, introduced in the paper GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Side-by-side Specifications

tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-ggufunsloth/glm-4.6v-flash-gguf
Authortvall43unsloth
Pipeline Tasktext-generationimage-text-to-text
Librarytransformerstransformers
Downloads20,49019,351
Likes18100
LicenseUnknownUnknown
Context Length——
Created2026-03-092025-12-09
Last Modified2026-03-092025-12-27
Tags
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation
transformersggufunslothimage-text-to-textzhenarxiv:2507.01006base_model:zai-org/GLM-4.6V-Flashbase_model:quantized:zai-org/GLM-4.6V-Flashlicense:mit

View full details: tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf · unsloth/glm-4.6v-flash-gguf