GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF overview
<p align="center" <img src="assets/banner.png" alt="MiniCPM5 1B Claude Opus Fable5 Thinking GGUF" width="100%"/ </p MiniCPM5 1B Claude Opus Fable5 Thinking GGU…
Runs locally from ~656.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-F16.gguf | GGUF | F16 | 2.02 GB | Download |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q4_K_M.gguf | GGUF | Q4_K_M | 656.2 MB | Download |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q5_K_M.gguf | GGUF | Q5_K_M | 750.4 MB | Download |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q8_0.gguf | GGUF | Q8_0 | 1.07 GB | Download |
Model Details
| Model ID | GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF |
|---|---|
| Author | GnLOLot |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking |
| Last modified | 2026-07-13T14:56:34.000Z |
Model README
---
license: apache-2.0
base_model: GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking
base_model_relation: quantized
language:
- en
- zh
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- llama.cpp
- quantized
- minicpm5
- thinking
- fable5
- coding
- instruction-following
---
<p align="center">
<img src="assets/banner.png" alt="MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF" width="100%"/>
</p>
MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF
> 📢 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 of MiniCPM5-1B-Claude-Opus-Fable5-Thinking for llama.cpp, Ollama, LM Studio, jan, KoboldCpp, and other GGUF runtimes.
This repository provides local-deployment builds of a 1B Thinking model fine-tuned on Fable 5 data atop openbmb/MiniCPM5-1B. The GGUF files embed MiniCPM5's native chat template for llama.cpp-compatible runtimes.
Transformers checkpoint: MiniCPM5-1B-Claude-Opus-Fable5-Thinking
---
Files
| File | Quant | Size | Notes |
|---|---|---|---|
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q4_K_M.gguf | Q4_K_M | ~657 MB | smallest footprint |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q5_K_M.gguf | Q5_K_M | ~751 MB | balanced quality / size |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q8_0.gguf | Q8_0 | ~1.1 GB | recommended default |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-F16.gguf | F16 | ~2.1 GB | full-precision conversion base |
Q8_0 is the recommended default quant for this 1B model.
---
Quick start
llama.cpp (llama-cli)
llama-cli \
-m MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q8_0.gguf \
-p "Write a Python function to merge two sorted lists." \
-n 512 \
--temp 0.9 --top-p 0.95 \
-c 8192
> The model supports up to 128K tokens (131,072) per config.json. Set -c according to your available VRAM/RAM.
llama.cpp server
llama-server \
-m MiniCPM5-1B-Claude-Opus-Fable5-Thinking-Q8_0.gguf \
-c 8192 --port 8080
LM Studio / jan / KoboldCpp
Load any .gguf file from this repository. The MiniCPM5 chat template is embedded in the GGUF metadata.
---
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 |
---
Capabilities
- Fable 5 fine-tune — post-trained on Fable 5 data
- Coding — code generation, debugging, and software-engineering workflows
- Instruction following — more reliable adherence to user prompts and task constraints
- Thinking mode — chain-of-thought reasoning; MiniCPM5 chat template baked into the GGUF
- Long context — up to 128K tokens (131,072 tokens per upstream
config.json)
---
Limitations
- Thinking outputs — the model may emit reasoning blocks before the final answer
- 1B scale — lightweight local deployment; not frontier-scale
- Runtime context — actual usable context depends on your GGUF runtime and hardware limits
---
Provenance & licensing
Apache-2.0, inherited from MiniCPM5-1B.
Acknowledgements
- Base model: OpenBMB / MiniCPM5-1B
- Transformers checkpoint: MiniCPM5-1B-Claude-Opus-Fable5-Thinking
- Quantization: llama.cpp
Run GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models