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AI 模型 84997

• gemma-4-E2B-it-MLX-6bit↗

  lmstudio-community

  _👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: google **Original model**: gemma-4-E2B-it **MLX quantization**: provided by LM Studio team using mlx_vlm 6-bit quantized version of gemma-4-E2B-it using MLX, optimized for Apple Silicon.

• d_m16↗

  loben0505

• d3-ultra-GGUF↗

  magnitudedev

• decider-0.8b↗

  Mapika

  The smallest decider: a language model that does not generate text. It reads a **state** (a string or any JSON value) and a set of **typed questions** and returns a probability distribution for every question from a single forward pass: Choice (2-255 options, optionally described), Score (2-10 described levels), Noul (probability of yes). No decoding, no parsing, no output outside the options you defined. Same code, same wire format (`POST /v1/systemone`, TypeSafe Jev's format), same training recipe as the 2B: one epoch of `scripts/train.sh full` from `Qwen/Qwen3.5-0.8B-Base` over the full mixture (1.47M examples, 455M tokens, 4.5 h on one GH200). All six repositories share one interface (`decider.infer.Decider`, `POST /v1/systemone` in TypeSafe's format) and one readout: the letter logits at an answer slot, softmaxed over the options. Pick by size and input. Code, data registry, training scripts, the changelog and the per-version history: https://github.com/Mapika/decider.

• albertlight-7b-GGUF↗

  MaziyarPanahi

• AlloyingotneoyInex12-7B-GGUF↗

  MaziyarPanahi

• Qwen3.8-9B-abliterated-25↗

  MegaPanchamZ

• Phi-3-medium-4k-instruct-onnx-cuda↗

  Microsoft

• Phi-3-vision-128k-instruct-onnx↗

  Microsoft

• whisper-large-v3-czech-cv13↗

  mikr