sdcb/HyMT2Sharp
About the project
Unofficial pure C# CPU inference implementation of the Hy-MT2 (hunyuan-dense) model with built-in AVX2 kernels, without llama.cpp or ONNX Runtime. Supports GGUF quantizations Q4_K_M, Q2_0C and 1.25-bit STQ1_0.
Useful for
- Run local text translation via CLI with a Hy-MT2 GGUF model
- Start an OpenAI-compatible HTTP server exposing /v1/chat/completions
- Embed Hy-MT2 inference into a .NET app via the Sdcb.HyMT2Sharp.Model NuGet package
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- The repository is 5 days old and already has 69 stars.
- Top new repositories this week: #187.
- Recent forks include notable developers: @geffzhang (2,168 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 69
- Stars in a day
- 0
- Forks
- 5
- Issues and pull requests
- 0
- Watchers
- 2
- Language
- C#
- License
- Apache-2.0
- Created
- September 13, 2026
- Last push
- September 15, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026Top new repositories this week: #130
- September 17, 2026Top new repositories this week: #129
- September 16, 2026Top new repositories this week: #164
- September 15, 2026Top new repositories this week: #200
Share
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/sdcb/HyMT2Sharp)Similar projects
-
8.6
TheoLeeCJ/SemIf
An open reproduction of the Jev-style semantic decision interface: reads typed option probabilities directly from a 4B model's logits without generating text. Runs on a single RTX 3090.
-
7.1
vinnylarouge/jevlike
A small trainable model that picks one option from a changing list of text options in a single forward pass, an open alternative to TypeSafe's Jev. Aimed at developers who need fast classification or menu selection…
-
6.9
Continuum-AI-Corp/OrcaBonsai-27B-Uncensored
A tool for runtime refusal ablation in the compressed Ternary Bonsai 2 27B LLM: it projects the residual stream to remove the refusal direction without modifying or re-quantizing weights. Runs on Apple Silicon via MLX.
-
6.4
TianyuCodings/NanoJev
A nano replica of Jev built on Qwen3-0.6B that outputs probability distributions over candidates in a single forward pass with no token decoding, plus a training pipeline and game demos (maze, Snake).
-
6.3
zhengkid/Dream-RSI
Research project on recursive self-improvement: past discovery histories become a replay simulator used to evaluate and refine exploration policies. Code is still being prepared; paper and demo are available.
-
5.0
ekzhang/openjev-sglang
HTTP server implementing the TypeSafe/Jev API for structured text classification on Qwen3.6-35B-A3B via SGLang; returns answer probabilities without generating a chain of thought.