MiniCPM5-1B-Claude-Opus-Fable5-Thinking

MiniCPM5-1B-Claude-Opus-Fable5-Thinking **📢 V2.0 is available** — We have released an updated model with **enhanced tool-calling** capabilities. Welcome to try the new version: - Transformers: MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking - GGUF: MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF 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 | Item | Detail | |---|---| | **Base model** | openbmb/MiniCPM5-1B (1B dense Llama architecture) | | **Post-training** | Fable 5 traces | | **Key gains** | Stronger coding and instruction following vs. the base checkpoint | | **Chat format** | MiniCPM5 native Thinking template with optional chain-of-thought blocks | | **Context length** | **128K** (`max_position_embeddings = 131072`) | | **Deployment** | Single-GPU friendly; suitable for edge / local use | 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 Sampling recommendations Generation defaults are inherited from **MiniCPM5-1B**: | Mode | Params | |---|---| | **Think** (default) | `temperature=0.9, top_p=0.95` | | **No Think** | `temperature=0.7, top_p=0.95`, `enable_thinking=False` | Limitations **Thinking outputs** — the model may emit reasoning blocks before the final answer; downstream apps can strip them