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Model Comparison

teichai/gemma-4-31b-it-claude-opus-distill-ggufvsunsloth/glm-4.6v-flash-gguf

Side-by-side comparison of teichai/gemma-4-31b-it-claude-opus-distill-gguf and unsloth/glm-4.6v-flash-gguf: downloads, license, context length, tasks, and benchmarks.

teichai/gemma-4-31b-it-claude-opus-distill-gguf

TeichAI · —

> **Build Environment & Features:** > - **Fine-tuning Framework**: **Unsloth** > - **Reasoning Effort**: **High** > - This model bridges the gap between Google's exceptional open-weights architecture and Claude 4.6's profound reasoning capabilities, leveraging cutting-edge fine-…

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

teichai/gemma-4-31b-it-claude-opus-distill-ggufunsloth/glm-4.6v-flash-gguf
AuthorTeichAIunsloth
Pipeline Task—image-text-to-text
Library—transformers
Downloads116,92219,351
Likes63100
LicenseUnknownUnknown
Context Length——
Created2026-04-032025-12-09
Last Modified2026-04-152025-12-27
Tags
gguftext-generation-inferencellama.cppunslothgemma4reasoningdataset:TeichAI/Claude-Opus-4.6-Reasoning-887xdataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100xdataset:TeichAI/claude-4.5-opus-high-reasoning-250xdataset:Crownelius/Opus-4.6-Reasoning-2100x-formatted
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: teichai/gemma-4-31b-it-claude-opus-distill-gguf · unsloth/glm-4.6v-flash-gguf