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Model Comparison

m4-ai/tinymistral-248m-v2-instruct-ggufvsteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

Side-by-side comparison of m4-ai/tinymistral-248m-v2-instruct-gguf and teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf: downloads, license, context length, tasks, and benchmarks.

m4-ai/tinymistral-248m-v2-instruct-gguf

M4-ai · —

GGUF version of Locutusque/TinyMistral-248M-v2-Instruct. # Recommended inference parameters `` do_sample: true temperature: 0.1 top_p: 0.14 top_k: 12 repetition_penalty: 1.1 ` # Recommended prompt template ` user\n{user message}\nassistant\n{assistant message} ``

teichai/gemma-4-26b-a4b-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-…

Side-by-side Specifications

m4-ai/tinymistral-248m-v2-instruct-ggufteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf
AuthorM4-aiTeichAI
Pipeline Task——
Library——
Downloads29,48234,354
Likes637
LicenseUnknownUnknown
Context Length——
Created2024-02-032026-04-04
Last Modified2024-02-032026-04-15
Tags
ggufendataset:HuggingFaceH4/ultrachat_200kbase_model:Locutusque/TinyMistral-248M-v2-Instructbase_model:quantized:Locutusque/TinyMistral-248M-v2-Instructlicense:apache-2.0endpoints_compatibleregion:us
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:TeichAI/Claude-Opus-4.6-Reasoning-500x

View full details: m4-ai/tinymistral-248m-v2-instruct-gguf · teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf