---

license: apache-2.0

base_model: nassimjp/MiniCPM5-2B-SFT-Pashto

tags:

- llama-cpp

- gguf

- minicpm

- pashto

language:

- ps

- en

pipeline_tag: text-generation

library_name: gguf

---

MiniCPM5-2B-SFT-Pashto-GGUF

GGUF quantizations of nassimjp/MiniCPM5-2B-SFT-Pashto, a fine-tuned version of openbmb/MiniCPM5-2B for Pashto language.

Quant Table

| File | Bits | Est. Size | Use Case |

|------|------|-----------|----------|

| model_f16.gguf | 16 | ~4.6 GB | Reference / re-quantization |

| model_q8_0.gguf | 8 | ~2.4 GB | Max quality, enough RAM |

| model_q6_k.gguf | 6 | ~1.9 GB | High quality |

| model_q5_k_m.gguf | 5 | ~1.6 GB | Balanced |

| model_q5_k_s.gguf | 5 | ~1.6 GB | Balanced, smaller |

| model_q4_k_m.gguf | 4 | ~1.4 GB | Recommended |

| model_q4_k_s.gguf | 4 | ~1.3 GB | Lower RAM |

| model_q3_k_l.gguf | 3 | ~1.1 GB | Low RAM |

| model_q3_k_m.gguf | 3 | ~1.0 GB | Low RAM |

| model_q3_k_s.gguf | 3 | ~0.9 GB | Minimum quality |

| model_q2_k.gguf | 2 | ~0.7 GB | Very low RAM only |

VRAM / RAM Requirements

| Quant | RAM |

|-------|-----|

| Q8_0 | ~3 GB |

| Q4_K_M | ~2 GB |

| Q2_K | ~1.5 GB |

Usage

llama.cpp

./llama-cli -m model_q4_k_m.gguf -p "Your prompt here" -n 256

llama-cpp-python

from llama_cpp import Llama
llm = Llama(model_path="model_q4_k_m.gguf")
output = llm("Your prompt here", max_tokens=256)
print(output["choices"][0]["text"])

LM Studio

Download any .gguf file and load directly in LM Studio.

Ollama

ollama run hf.co/tinyopsec/MiniCPM5-2B-SFT-Pashto-GGUF:Q4_K_M

Notes

• Architecture: LlamaForCausalLM
• Fine-tuned for Pashto (پښتو) language
• Based on MiniCPM5-2B with hybrid reasoning (Think / No-Think modes)
• For llama.cpp, recommended: --min-p 0.0 to avoid repetition