Text Generation
NInfer
qwen.83
qwen3_8
blackwell
sm120a
mtp
speculative-decoding
indexed88
vocabulary-prune
coding
agentic
nvfp4
conversational
Instructions to use Schestex/ThinkingCap-Qwen3.8-27B-NInfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NInfer
How to use Schestex/ThinkingCap-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
- Google Colab
- Kaggle
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Download benchmarks/V1-RESULTS.md from Schestex/ThinkingCap-Qwen3.8-27B-NInfer: direct link, hf CLI and curl.
- Browser
- Download file 965 Bytes
-
https://huggingface.co/Schestex/ThinkingCap-Qwen3.8-27B-NInfer/resolve/main/benchmarks/V1-RESULTS.md
- Command line
-
hf download hf://Schestex/ThinkingCap-Qwen3.8-27B-NInfer/benchmarks/V1-RESULTS.md
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curl -L -o V1-RESULTS.md https://huggingface.co/Schestex/ThinkingCap-Qwen3.8-27B-NInfer/resolve/main/benchmarks/V1-RESULTS.md
965 Bytes
V1 benchmark summary
Old production vs V1
| Context | Acceptance old | Acceptance V1 | Delta | Decode gain | Prefill gain |
|---|---|---|---|---|---|
| Mixed 8k | 54.02% | 75.09% | +21.07 pp | +42.41% | +8.07% |
| Mixed 32k | 40.91% | 61.34% | +20.43 pp | +45.56% | +5.60% |
| Mixed 48k | 55.33% | 54.84% | -0.49 pp | +9.96% | +6.10% |
| Mixed 110k | 54.52% | 58.64% | +4.12 pp | +13.35% | +6.72% |
Chunk 1024 vs 2048 on V1
| Context | Acceptance 1024 | Acceptance 2048 | Delta | Decode gain | Prefill gain |
|---|---|---|---|---|---|
| Mixed 32k | 55.29% | 61.34% | +6.05 pp | +6.28% | +4.89% |
| Mixed 110k | 43.53% | 58.64% | +15.11 pp | +22.45% | +4.79% |
Baked equivalence
| Context | Runtime-tuned | Baked V1 |
|---|---|---|
| Mixed 8k | 0.7509293680 | 0.7509293680 |
| Mixed 32k | 0.6134185304 | 0.6134185304 |
| Mixed 48k | 0.5483870968 | 0.5483870968 |
| Mixed 110k | 0.5864197531 | 0.5864197531 |
Baked equivalence: PASS