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Model Comparison

ggml-org/embeddinggemma-300m-ggufvsteichai/gemma-4-31b-it-claude-opus-distill-gguf

Side-by-side comparison of ggml-org/embeddinggemma-300m-gguf and teichai/gemma-4-31b-it-claude-opus-distill-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/embeddinggemma-300m-gguf

ggml-org · —

# embeddinggemma-300M GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/embeddinggemma-300M-GGUF --embeddings ` Then the endpoint can be accessed at http://localhost:8080/embedding, for example using curl: `console curl --request POST \ --url http://localhos…

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-…

Side-by-side Specifications

ggml-org/embeddinggemma-300m-ggufteichai/gemma-4-31b-it-claude-opus-distill-gguf
Authorggml-orgTeichAI
Pipeline Task——
Library——
Downloads349,290116,922
Likes2663
LicenseUnknownUnknown
Context Length——
Created2025-09-042026-04-03
Last Modified2025-09-042026-04-15
Tags
ggufbase_model:google/embeddinggemma-300mbase_model:quantized:google/embeddinggemma-300mendpoints_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:Crownelius/Opus-4.6-Reasoning-2100x-formatted

View full details: ggml-org/embeddinggemma-300m-gguf · teichai/gemma-4-31b-it-claude-opus-distill-gguf