---

language:

• en

license: apache-2.0

library_name: llama.cpp

pipeline_tag: text-generation

tags:

• qwen
• gguf
• q6_k
• quantized
• reasoning
• local-ai
• llama.cpp
• self-hosted

---

Qwen3.8-27B - Q6_K GGUF

A Q6_K quantized GGUF release of a 27-billion-parameter

Qwen-family language model, prepared for local inference

and self-hosted AI applications.

Published by oscarwest1.

Model Details

| Property | Details |

|---|---|

| Model Name | Qwen3.8-27B |

| Parameter Class | 27 Billion |

| Quantization | Q6_K |

| Format | GGUF |

| Inference Runtime | llama.cpp |

| Publisher | oscarwest1 |

| Fine-Tuning | Not claimed |

| Independent Benchmarks | Not provided |

About This Release

This repository provides a Q6_K GGUF model for

local inference using compatible GGUF runtimes.

Q6_K is a 6-bit-class quantization format designed

to reduce memory consumption compared with

full-precision model weights.

Quantization is lossy and may introduce differences

in model behavior and output quality.

No additional fine-tuning is claimed for this release.

Intended Applications

• Advanced reasoning
• Programming and code generation
• IT troubleshooting
• Technical analysis
• Research and experimentation
• Local AI assistants
• Self-hosted AI deployments
• Structured problem solving

Local Inference

llama.cpp

Download the model and run:

llama-cli -m Qwen3.8-27B-Q6_K.gguf -c 32768 -cnv

Local API Server

llama-server -m Qwen3.8-27B-Q6_K.gguf --host 127.0.0.1 --port 8080 -c 32768

Context length and CPU thread count can be adjusted

according to available hardware.

Quantization Information

• Quantization format: Q6_K
• Container format: GGUF
• Intended runtime: llama.cpp
• Additional training: Not claimed
• Independent accuracy benchmarks: Not provided

Q6_K aims to offer a balance between memory usage

and numerical precision.

Actual performance depends on CPU, GPU, memory

bandwidth, context length and inference settings.

Attribution

Qwen models are developed by the Qwen Team.

Qwen project:

https://huggingface.co/Qwen

GGUF tooling:

https://github.com/ggml-org/llama.cpp

This is an independently published GGUF release

and is not an official Qwen distribution.

The exact upstream checkpoint should be verified

before treating this release as equivalent to

a particular official Qwen model.

License

Apache License 2.0 is indicated for this release,

subject to verification against the exact upstream

checkpoint and its redistribution requirements.

---

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