MiniCPM5 1B Claude Opus Fable5 V2 Thinking GGUF
MiniCPM5 1B Claude Opus Fable5 V2 Thinking GGUF by GnLOLot, a text-generation model. Understand and compare features, benchmarks, and capabilities.
Comparison
| Feature | MiniCPM5 1B Claude Opus Fable5 V2 Thinking GGUF | 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 V2 Thinking GGUF | Interfaze |
|---|---|---|
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |
View model card on Hugging Face
GGUF quantizations of MiniCPM5-1B-Claude-Opus-Fable5-V2-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 (V2) atop openbmb/MiniCPM5-1B. Compared with V1, V2 strengthens tool calling / function calling, while keeping MiniCPM5's native chat template embedded in the GGUF files.
Transformers checkpoint: MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking
Previous GGUF version: MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF (V1)
Files
| File | Quant | Size | Notes |
|---|---|---|---|
MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-Q8_0.gguf | Q8_0 | ~1.1 GB | recommended default |
MiniCPM5-1B-Claude-Opus-Fable5-V2-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-V2-Thinking-Q8_0.gguf \
-p "Write a Python function to merge two sorted lists." \
-n 512 \
--temp 0.9 --top-p 0.95 \
-c 8192The model supports up to 128K tokens (131,072) per
config.json. Set-caccording to your available VRAM/RAM.
llama.cpp server
llama-server \
-m MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-Q8_0.gguf \
-c 8192 --port 8080LM 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
- Tool calling (enhanced in V2) — stronger function-calling / tool-use behavior
- Fable 5 fine-tune (V2) — 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)
Benchmark
Scores for the Transformers checkpoint MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking:
BFCL + API-Bank
| Model | BFCL non_live | BFCL live | API-Bank |
|---|---|---|---|
| MiniCPM5-1B (Base) | 41.51% | 60.24% | 7.30% |
| MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking | 43.06% | 63.33% | 22.10% |
Tau-Bench
| Domain | MiniCPM5-1B (Base) | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking |
|---|---|---|
| Airline | 0.34 (17/50) | 0.36 (18/50) |
| Retail | 0.052 (6/115) | 0.070 (8/115) |
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-V2-Thinking
- Quantization: llama.cpp