Repository: localaiLicense: apache-2.0
# MiniCPM5-1B-Claude-Opus-Fable5-Thinking GGUF quantizations for local deployment: **MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF** 中文说明 **MiniCPM5-1B-Claude-Opus-Fable5-Thinking** is a compact 1B **Thinking** language model built on openbmb/MiniCPM5-1B. It is further fine-tuned on **Fable 5** data to improve **coding** and **instruction-following** while keeping MiniCPM5's native Thinking chat template and tool-call format. For llama.cpp / Ollama / LM Studio deployment, see the **GGUF repository**. ## Overview ## Capabilities - **Coding** — code generation, debugging, and software-engineering-style tasks - **Instruction following** — more reliable adherence to user prompts and structured constraints - **Thinking mode** — chain-of-thought reasoning via the MiniCPM5 chat template - **Tool calling** — inherits MiniCPM5's XML tool-call format - **Long context** — up to **128K tokens** (131,072 tokens per `config.json`) ## Quick start ```python from transformers import AutoModelForCausalLM, AutoTokenizer import torch model_id = "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking" ...
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Repository: localaiLicense: apache-2.0

Hugging Face | GitHub | Launch Blog | Documentation License: Apache 2.0 | Authors: Google DeepMind > [!Note] > This model card is for the Gemma 4 12B Unified model, which is part of the Gemma 4 family of open models. Built with the same multimodal functionality as Gemma 4 E2B and E4B (text, audio, image, and video inputs), it brings native audio and vision understanding directly to local environments without the need for separate encoders. This unified approach to multimodality makes the model encoder-free, offering a deployment size that is perfect for consumer devices and streamlined local execution. Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. ...
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Repository: localaiLicense: gemma

Hugging Face | GitHub | Launch Blog | Documentation License: Apache 2.0 | Authors: Google DeepMind > [!Note] > This model card is for the Gemma 4 12B Unified model, which is part of the Gemma 4 family of open models. Built with the same multimodal functionality as Gemma 4 E2B and E4B (text, audio, image, and video inputs), it brings native audio and vision understanding directly to local environments without the need for separate encoders. This unified approach to multimodality makes the model encoder-free, offering a deployment size that is perfect for consumer devices and streamlined local execution. Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. ...
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Multilingual E5 base embedding model optimized for semantic similarity and retrieval tasks. Supports OpenVINO and ONNX inference formats. Ideal for cross-lingual vector search and semantic matching.
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