Instructions to use neroued/Qwen3.8-27B-NInfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NInfer
How to use neroued/Qwen3.8-27B-NInfer with NInfer:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
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Qwen3.8-27B for NInfer
This model card is the version-controlled source for neroued/Qwen3.8-27B-NInfer.
The repository contains
Qwen3.8-27B converted to the native
NInfer .ninfer artifact format. The artifact is intended
only for NInfer; it is not a Transformers checkpoint, Safetensors distribution, or GGUF file.
Artifact
| Field | Value |
|---|---|
| Filename | qwen3_8_27b.ninfer |
| Size | 18,210,531,328 bytes (16.96 GiB) |
| SHA-256 | eec39564993d6e9c7d5e383382a760f093465c9d163ec9a1bd6b80199514bf3e |
| Container version | 2 |
| NInfer model ID | qwen3.8-27b |
| NInfer weights ID | groupwise-int |
| NInfer target key | qwen3_8_27b |
| Stored objects | 1,124 (1,118 tensors and 6 resources) |
The Text body uses the registered Q4/Q5/Q6 groupwise allocation, while the token embedding and
full output head use W8G32_F16S. The file also contains the registered Vision, MTP,
proposal-head, tokenizer, chat-template, generation, and media-processor objects required by
NInfer.
Verify a downloaded file with:
printf '%s %s\n' \
'eec39564993d6e9c7d5e383382a760f093465c9d163ec9a1bd6b80199514bf3e' \
'qwen3_8_27b.ninfer' | sha256sum --check
Requirements
- NInfer revision
5232055or later, built from source; - 64-bit Linux;
- NVIDIA GeForce RTX 5090 (
sm_120a); - CUDA Toolkit 13.1 or newer.
NInfer does not provide an install target or packaged binary. See the repository README for source-build dependencies.
Download and run
hf download neroued/Qwen3.8-27B-NInfer \
qwen3_8_27b.ninfer \
--local-dir models
./build/apps/ninfer models/qwen3_8_27b.ninfer \
--prompt "Explain prefill and decode in three sentences." \
--max-context 16384 \
--max-new 256 \
--spec mtp --draft-tokens 3 \
--lm-head-draft
For images, videos, structured chat history, and HTTP serving, see the NInfer documentation.
Supported use
The artifact supports:
- text generation in thinking and non-thinking modes;
- image, multi-image, video, and mixed multimodal messages;
- MTP speculative decoding with draft windows from one to five;
- BF16 and INT8 group-64 KV cache;
- CUDA Graph decode and compatible-prefix reuse;
- startup-bounded small-scale concurrent serving with true batched decode;
- the NInfer CLI;
- OpenAI- and Anthropic-compatible serving.
Limits
- The artifact is accepted only by NInfer revision
5232055or later and the matching registered target. - NInfer executes on one RTX 5090 and one CUDA device, with a startup-fixed capacity of 1–8 active requests per Engine.
- It does not provide large-scale or preemptive continuous batching, priority/QoS scheduling, multi-GPU execution, CPU/GPU offload, or distributed serving.
- Context allocation is subject to GPU memory and the selected KV-cache type.
- NInfer does not execute generated tool calls.
Provenance
| Field | Value |
|---|---|
| Source repository | Qwen/Qwen3.8-27B |
| Source revision | 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0 |
| Download source | modelscope.cn/models/Qwen/Qwen3.8-27B |
| Conversion recipe | qwen3_8_27b-v1 |
| Converter repository | https://github.com/Neroued/ninfer |
| Converter revision | 52320554b5e71a9da96bff809ddf67ac5773ed63 |
| Minimum runtime revision | 52320554b5e71a9da96bff809ddf67ac5773ed63 |
| Ranking input SHA-256 | c692dc76388132c910547589b4fb4a0503fbd6ad50aaac6a509bbcb192a8afa5 |
The local source configuration, tensor index, frontend resources, and published CRC32 inventory were checked against the canonical Hugging Face source revision above before conversion publication.
The artifact identity, summarized object inventory, and conversion provenance are published in
artifact-manifest.json.
The exact storage contract is maintained in the
Qwen3.8-27B artifact reference.
License
This NInfer artifact is distributed under the Apache License 2.0. The source Qwen3.8-27B repository is also licensed under Apache-2.0. Users remain responsible for complying with the license and applicable laws.
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