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tinymixtral

mikecovlee

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation
Input Text→ Output Text
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tinymixtral-it

mikecovlee

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation
Input Text→ Output Text
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Fresh GPTQ INT4 quantization of **Qwen/Qwen3.8-27B**, produced directly from the original BF16 checkpoint. This is the G128 checkpoint selected from controlled G128 vs G32 testing on a single **Intel Arc Pro B70 32 GB** using vLLM XPU. Full reproduction procedure, Dockerfiles, patches, benchmarks, calibration methodology, and deployment guide:

Text generation
Input Text→ Output Text
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LTX-2.3

mikestar

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Video generation
Input Image→ Output Video
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An abliterated (refusal-removed) build of Qwen3.8-27B packaged in NInfer's native **v3 `.ninfer`** container, with the **NVFP4/FP8 mixed-precision weight profile** and the **DFlash2 + MTP speculative-decoding heads and the vision tower preserved**. Runs on a single NVIDIA RTX 5090. This repository publishes the **container upgrade** of an existing community artifact so that it loads in the current NInfer engine, which requires v3 containers. **No weights were modified, re-quantized, or fine-tuned.** 1. **Container upgrade v2 → v3** using the official, upstream tool `tools/upgrade_ninfer_v2_to_v3.py`. Per the tool's contract, **stored weight values and formats are preserved byte-for-byte**; the tool rewrites the framing/metadata directory and installs the maintained `qwen3_8.jinja` chat template. The resulting file is 263,664 bytes larger than the v2 source (metadata + template only). 2. The upgrade was executed on Windows, which required four compatibility shims in the tool (the upstream tool targets Linux): `os.posix_fadvise`/`POSIX_FADV_*` (no-op), `os.fdatasync` → `os.fsync`, `os.sysconf("SC_PAGE_SIZE")` → 4096, and `os.pread`/`os.pwrite` emulation via `lseek` + `read`/`write`. These shims only affect durability/access-pattern hints; they do not touch the artifact payload. 3. **Nothing else was changed.** No re-quantization, no fine-tuning, no merge, no weight edits. All abliteration was performed upstream by OrcaRouter.

Visual QA
Input Text · Image→ Output Text
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