baa-ai/Qwen3.8-27B-RAM-13GB-GGUF

Qwen3.8-27B — 13GB (GGUF)

GGUF build of Qwen/Qwen3.8-27B, capability-validated by baa.ai for faithful, retrieval-grounded reading — a full 27B reader that runs on a single 16 GB GPU (e.g. AWS g4dn.xlarge / NVIDIA T4).

Built for the case where the retrieved documents are the source of truth and the model's job is to interpret them — not to answer from its own memory. It was selected and validated to keep that behaviour intact under aggressive compression.

Metrics

Validated to lose nothing on faithfulness or reading versus the full-precision model: when a retrieved passage contradicts the model's own prior, it follows the passage 100% of the time, and reads the correct answer from context 100% of the time. Fits a 16 GB GPU with room for an 8K-token context window.

Usage

brew install llama.cpp huggingface-cli

hf download baa-ai/Qwen3.8-27B-RAM-13GB-GGUF --include "*.gguf" --local-dir ./qwen3.8-27b-ram-13gb

llama-cli -m ./qwen3.8-27b-ram-13gb/Qwen3.8-27B-RAM-13GB.gguf -p "Hello!" -n 256 -ngl 99

Or via llama-server for an OpenAI-compatible HTTP API (drop-in for a retrieval-augmented reader):

llama-server -m ./qwen3.8-27b-ram-13gb/Qwen3.8-27B-RAM-13GB.gguf --port 8080 -ngl 99 --ctx-size 8192

Also works with Ollama, LM Studio, and llama-cpp-python.

Compressed and capability-validated by [baa.ai](https://baa.ai)

Black Sheep AI Products

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