初始化项目，由ModelHub XC社区提供模型

Model: GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+language:
+  - en
+  - zh
+base_model: openbmb/MiniCPM5-1B
+base_model_relation: finetune
+pipeline_tag: text-generation
+tags:
+  - minicpm
+  - minicpm5
+  - llama
+  - text-generation
+  - thinking
+  - fable5
+  - coding
+  - instruction-following
+---
+
+<p align="center">
+  <img src="assets/banner.png" alt="MiniCPM5-1B-Claude-Opus-Fable5-Thinking" width="100%"/>
+</p>
+
+# MiniCPM5-1B-Claude-Opus-Fable5-Thinking
+
+GGUF quantizations for local deployment: **[MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF](https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF)**
+
+[中文说明](./README-cn.md)
+
+**MiniCPM5-1B-Claude-Opus-Fable5-Thinking** is a compact 1B **Thinking** language model built on [openbmb/MiniCPM5-1B](https://huggingface.co/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](https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF)**.
+
+---
+
+## Overview
+
+| Item | Detail |
+|---|---|
+| **Base model** | [openbmb/MiniCPM5-1B](https://huggingface.co/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
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    trust_remote_code=True,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [{"role": "user", "content": "Write a Python function to merge two sorted lists."}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512, do_sample=False)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
+```
+
+---
+
+## Sampling recommendations
+
+Generation defaults are inherited from **[MiniCPM5-1B](https://huggingface.co/openbmb/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 before display
+- **1B scale** — optimized for lightweight local deployment, not frontier-scale general reasoning
+
+---
+
+## Provenance & licensing
+
+Released under **Apache-2.0**, inherited from [MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B).
+
+## Acknowledgements
+
+- Base model: [OpenBMB / MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B)
+- GGUF conversion: [llama.cpp](https://github.com/ggml-org/llama.cpp)