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tawkeed-sa
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
tawkeed-sa
Model Tree
unsloth/Qwen3.6-35B-A3B-NVFP4
Input Modalities
Output Modalities
Supported Functionality
The default runtime is on-prem and makes no advisor or internet call. Its output
is strict JSON containing target, confidence, and a short category-level
reason. Invalid model output fails safely to Tawkeed Advisor. Sensitive data
alone does not trigger Advisor; routing is based on difficulty.
Tawkeed Router, GPT, and Advisor can share one loaded Qwen3.6 NVFP4 server; their system policies provide the different roles. Separate copies of the weights are published so each Hugging Face model identity is complete.
The recommended DGX Spark server is
MiaAI-Lab/Unsloth-Qwen3.6-35b-NVFP4-DGX-Spark.
After its OpenAI-compatible endpoint is available:
bash
pip install -r requirements-tawkeed.txtpython serving/tawkeed_router.py --query "ترجم هذه الجملة"
Validated 2026-07-13 with the MiaAI-Lab image at digest
sha256:556dd955082f8aa29779b0bc6d068537e7f2091c5e87ab41f5496b70920a2019.
The server loaded the checkpoint through compressed-tensors,
FlashInferB12xNvFp4LinearKernel, and the FlashInfer CUTLASS NVFP4 MoE backend.
This role suite is an integration check, not a benchmark claim. The previous compact Qwen3-0.6B/head router is preserved separately as a legacy artifact and is not the model represented by this repository.