GLM-5.2 is live. #1 throughput on OpenRouter, pay-per-token on FriendliAI. Try it today ➜
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 endpoint is the local DGX Spark runtime. The wrapper defines no tools, never invokes Tawkeed Advisor, and does not claim external knowledge or fresh sources unless results are explicitly supplied in the conversation. Operators remain responsible for keeping the configured inference endpoint inside their trusted boundary.
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_gpt.py --query "ما هي عاصمة المملكة العربية السعودية؟"
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 Nex-N2 / Qwen3.5-lineage checkpoint is preserved separately as an archive and is not the model represented by this repository.