---

base_model: Ma7ee7/MeetInstruct-0.6B-v1.5

library_name: llama.cpp

pipeline_tag: text-generation

tags:

• gguf
• llama.cpp
• qwen3
• conversational
• text-generation

---

MeetInstruct-0.6B-v1.5 GGUF

GGUF conversions of

Ma7ee7/MeetInstruct-0.6B-v1.5.

The model is based on Qwen3-0.6B and uses its ChatML-compatible chat template.

Files

| File | Size |

|---|---:|

| MeetInstruct-0.6B-v1.5-F16.gguf | 1439.4 MiB |

| MeetInstruct-0.6B-v1.5-Q8_0.gguf | 767.5 MiB |

| MeetInstruct-0.6B-v1.5-Q6_K.gguf | 593.9 MiB |

| MeetInstruct-0.6B-v1.5-Q5_K_M.gguf | 525.8 MiB |

| MeetInstruct-0.6B-v1.5-Q5_K_S.gguf | 518.4 MiB |

| MeetInstruct-0.6B-v1.5-Q4_K_M.gguf | 461.8 MiB |

| MeetInstruct-0.6B-v1.5-Q4_K_S.gguf | 449.0 MiB |

| MeetInstruct-0.6B-v1.5-Q3_K_L.gguf | 415.2 MiB |

| MeetInstruct-0.6B-v1.5-Q3_K_M.gguf | 394.8 MiB |

| MeetInstruct-0.6B-v1.5-Q3_K_S.gguf | 371.9 MiB |

| MeetInstruct-0.6B-v1.5-Q2_K.gguf | 331.2 MiB |

Recommended general-purpose quantization: MeetInstruct-0.6B-v1.5-Q4_K_M.gguf.

llama.cpp

Run the model with:

llama-cli -m MeetInstruct-0.6B-v1.5-Q4_K_M.gguf -cnv

Context support depends on the underlying checkpoint and available memory.

The v1.5 16K checkpoint was trained with examples between approximately

10,000 and 15,900 tokens, but long-context reliability is not guaranteed.

Quantizations

Generated locally using the current llama.cpp quantizer.

Successful quantizations: Q8_0, Q6_K, Q5_K_M, Q5_K_S, Q4_K_M, Q4_K_S, Q3_K_L, Q3_K_M, Q3_K_S, Q2_K.