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Model Comparison

ggml-org/smolvlm2-2.2b-instruct-ggufvsteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

Side-by-side comparison of ggml-org/smolvlm2-2.2b-instruct-gguf and teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm2-2.2b-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

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

ggml-org/smolvlm2-2.2b-instruct-ggufteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf
Authorggml-orgTeichAI
Pipeline Task——
Library——
Downloads24,92034,354
Likes3237
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-04-04
Last Modified2025-04-302026-04-15
Tags
ggufbase_model:HuggingFaceTB/SmolVLM2-2.2B-Instructbase_model:quantized:HuggingFaceTB/SmolVLM2-2.2B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
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: ggml-org/smolvlm2-2.2b-instruct-gguf · teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf