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oracomputing/Qwen3.5-9B-GGUF
Qwen3.5-9B-GGUF is a text generation model from oracomputing. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as other.
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.gguf13.6 GB · 100%
From the Hugging Face model README
This repository contains GGUF builds of Qwen3.5-9B, quantized by Ora Computing with OraQuant (OQ) - Ora Computing's proprietary calibrated quantization.
These are llama.cpp-compatible quantizations of Qwen/Qwen3.5-9B; the underlying weights are unchanged Qwen3.5-9B weights at reduced precision.
Text only.
Qwen/Qwen3.5-9Bis a multimodal model; these GGUFs contain only the language model (text input -> text output). The vision/video input encoders are not included.
Qwen/Qwen3.5-9B (Apache-2.0, Alibaba Cloud) - these are GGUF quantizations of itOQ-Q4_K_M (higher quality), OQ-Q3_K_M (smaller/faster), and OQ-IQ2_XXS (smallest, mixed i-/k-quant).LICENSE (Custom Model License Agreement).| File | What it is | Size |
|---|---|---|
Qwen3.5-9B-OQ-Q4_K_M.gguf | Language model, OraQuant Q4_K_M (higher quality) | ~5.7 GB |
Qwen3.5-9B-OQ-Q3_K_M.gguf | Language model, OraQuant Q3_K_M (smaller/faster) | ~4.7 GB |
Qwen3.5-9B-OQ-IQ2_XXS.gguf | Language model, OraQuant IQ2_XXS-class (smallest, mixed i-/k-quant) | ~3.2 GB |
LICENSE | Custom Model License Agreement | - |
These GGUFs load with stock upstream llama.cpp (no patch required); use a build with Qwen3.5 support.
export MODEL=/path/to/Qwen3.5-9B-OQ-Q4_K_M.gguf # or the Q3_K_M / IQ2_XXS file
Interactive chat:
./build/bin/llama-cli -m "$MODEL" -ngl 99
Single-shot completion (-st runs one turn then exits):
./build/bin/llama-cli -m "$MODEL" -ngl 99 -st -p "Explain the Chudnovsky algorithm in two sentences."
OpenAI-compatible server (Web UI at http://localhost:8080):
./build/bin/llama-server -m "$MODEL" -ngl 99 \
--alias qwen3.5-9b --host 0.0.0.0 --port 8080
Qwen3.5 is a reasoning model; the chat template and thinking behaviour are carried in the GGUF.
For best results use the upstream-recommended sampling settings, e.g.
--temp 0.6 --top-p 0.95 --top-k 20 --presence-penalty 1.0. Long thinking phases are
normal on hard prompts, especially for the smallest (OQ-IQ2_XXS) footprint.
OQ-IQ2_XXS file additionally uses i-quants).Qwen/Qwen3.5-9B weights; no additional training was performed.OQ-Q4_K_M for higher quality, OQ-Q3_K_M for a smaller/faster footprint, OQ-IQ2_XXS for the smallest footprint (expect visible quality loss on the hardest long-reasoning tasks at this size).This model is derived from the Qwen3.5-9B model released by Alibaba Cloud under the Apache License, Version 2.0.
"Copyright 2025 Alibaba Cloud. Licensed under the Apache License, Version 2.0."
For full terms, see: https://huggingface.co/Qwen/Qwen3.5-9B/blob/main/LICENSE Apache License, Version 2.0: https://www.apache.org/licenses/LICENSE-2.0
For licensing inquiries or to request extended evaluation rights, please contact: [email protected]
Repository and model access are regulated. Do not redistribute or share without explicit written permission from Ora Computing.