# MiniCPM5 1B Claude Opus Fable5 Thinking

URL: https://interfaze.ai/models/gnlolotminicpm5-1b-claude-opus-fable5-thinking

MiniCPM5 1B Claude Opus Fable5 Thinking by GnLOLot, a text-generation model. Understand and compare features, benchmarks, and capabilities.

## Comparison

| Feature | MiniCPM5 1B Claude Opus Fable5 Thinking | Interfaze |
| --- | --- | --- |
| Input Modalities | text | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | unknown | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | 131.1K | 1M |
| Tool Calling | Yes | Tool calling supported + built in browser, code execution and web search |

### Scaling

| Feature | MiniCPM5 1B Claude Opus Fable5 Thinking | Interfaze |
| --- | --- | --- |
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/GnLOLot/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](https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking)
> -   GGUF: [MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF](https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF)

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](https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking/blob/main/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)**.

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## 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 |

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## 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`)

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## Quick start

```
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))
```

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## 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 |

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## 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

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## 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)

## Want more deterministic results?

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)