bluehawana/Qwen3.8-27B-Q8-GGUF overview
Qwen3.8 27B — GGUF Q8 0 Single file Q8 0 8 bit, near lossless GGUF of Qwen/Qwen3.8 27B https://huggingface.co/Qwen/Qwen3.8 27B — 28.9 GB. Quantized by AtomicCh…
Runs locally from ~26.90 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.8-27B-Q8_0.gguf | GGUF | Q8_0 | 26.90 GB | Download |
Model Details
| Model ID | bluehawana/Qwen3.8-27B-Q8-GGUF |
|---|---|
| Author | bluehawana |
| Pipeline | — |
| License | apache-2.0 |
| Base model | Qwen/Qwen3.8-27B |
| Last modified | 2026-08-18T09:43:03.000Z |
Model README
---
license: apache-2.0
base_model: Qwen/Qwen3.8-27B
base_model_relation: quantized
tags:
- gguf
- ollama
- llama.cpp
- apple-silicon
- qwen3.8
- q8_0
---
Qwen3.8-27B — GGUF Q8_0
Single-file Q8_0 (8-bit, near-lossless) GGUF of
Qwen/Qwen3.8-27B — 28.9 GB.
Quantized by AtomicChat;
re-hosted here alongside our Apple-Silicon serving research for one-command use.
Run it
# Ollama (from the Ollama registry — easiest)
ollama run bluehawana/qwen3.8-27b-q8
# Ollama (straight from this repo)
ollama run hf.co/bluehawana/Qwen3.8-27B-Q8-GGUF
# llama.cpp / LM Studio / Jan: download Qwen3.8-27B-Q8_0.gguf directly
Needs ≥48 GB unified memory on Apple Silicon (comfortable at 64 GB+).
Concurrent serving on a Mac
This model serves 16 concurrent requests with zero errors on an M-series
128 GB Mac — benchmarks across Ollama / oMLX / SGLang-MLX, plus the SGLang
patches that make it possible (upstream PR
→ bluehawana/qwen3.8-27b-apple-silicon-concurrency
Quick concurrent Ollama serving:
OLLAMA_HOST=127.0.0.1:11500 OLLAMA_NUM_PARALLEL=16 OLLAMA_CONTEXT_LENGTH=8192 ollama serve
# OpenAI-compatible endpoint: http://127.0.0.1:11500/v1
Credits: base model © Qwen (Apache-2.0) · Q8_0 quant by AtomicChat · benchmarks & patches by bluehawana.
Run bluehawana/Qwen3.8-27B-Q8-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models