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Support for orcarouter/Qwen3.8-Flash-Next-Uncensored-NVFP4 #738
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Before you start
- I have checked the supported models and this checkpoint is not listed there. A listed checkpoint that fails is a bug; use a Bug report instead.
- I have read the Roadmap and this model is not already planned there.
- I have read the FAQ.
- I have searched existing issues and found no duplicate.
- This is not a GGUF checkpoint. GGUF support is on the Roadmap; please do not open an issue for it.
Hugging Face link
https://huggingface.co/orcarouter/Qwen3.8-Flash-Next-Uncensored-NVFP4
Is the model architecture already supported
Yes, but this checkpoint or quantization does not load
Is the quantization already supported
Yes, but this checkpoint's weight format does not load
What happens when you load it
[10:51:15] cmd/INFO detecting CPU/PCIe bandwidth to pick the MoE backend (ft bench bw)…
[10:51:45] cmd/INFO ft serve --model D:\Cache\FreeToken_Model\Qwen3.8-Flash-Next-Uncensored-NVFP4 --port 1919 --moe-backend auto --max-running-requests 4 --memory-ratio 0.95 --moe-cpu-threads 16 --host 172.20.1.121 --cors-origins tauri://localhost,http://tauri.localhost,http://localhost:1420 --gpu GPU-caeb6cf1-3a04-7a6a-11e5-c93dc9bc561e
[10:51:45] stdout/INFO serve started (pid=8096 model=D:\Cache\FreeToken_Model\Qwen3.8-Flash-Next-Uncensored-NVFP4 port=1919)
[10:51:49] stdout/WARN [2026-10-19|10:51:49] WARNING --moe-backend is deprecated; use --moe-strategy
[10:51:49] stdout/INFO [2026-10-19|10:51:49] INFO Parsed arguments:
[10:51:49] stdout/INFO ServerArgs(model_path='D:\\Cache\\FreeToken_Model\\Qwen3.8-Flash-Next-Uncensored-NVFP4', tp_info=DistributedInfo(rank=0, size=1), dtype=torch.bfloat16, hf_overrides={}, max_running_req=4, attention_backend='auto', moe_strategy='auto', quant_backend=None, ple_backend='disk', expert_load='auto', moe_cache_size=0, moe_cache_rate=None, moe_cache_auto=False, kv_reserve_tokens=8192, moe_cache_policy='lru', moe_prefill_overlap=True, moe_prefill_hit_d2d=False, moe_collect_stats=False, moe_cpu_threads=16, moe_cpu_layers=None, moe_hybrid_max_fetch=-1, cuda_graph_bs=None, cuda_graph_max_bs=None, page_size=1, memory_ratio=0.95, linear_state_cache_ratio=2.0, swa_full_tokens_ratio=0.2, swa_num_pages_override=None, distributed_timeout=60.0, use_dummy_weight=False, use_pynccl=True, max_seq_len_override=None, num_page_override=None, num_token_override=None, mm=MultimodalConfig(disabled_encoders=frozenset(), embed_cache_device='cpu', encoder_weights='host', image_min_tokens=None, image_max_tokens=None, processor_kwargs={}), max_extend_tokens=8192, cache_type='radix', offline_mode=False, decode_log_interval=40, special_token_ckpt=False, _unique_suffix='.pid=13324', _ipc_base_port=53143, server_host='172.20.1.121', server_port=1919, num_tokenizer=0, silent_output=False, shell_mode=False, served_model_name='Qwen3.8-Flash-Next-Uncensored-NVFP4', tool_call_parser='qwen3_coder', reasoning_parser='qwen3', sampling_defaults='model', max_output_tokens=None, enable_cache_report=False, allowed_media_domains='', allowed_local_media_path='', cors_origins='tauri://localhost,http://tauri.localhost,http://localhost:1420', gpu=('GPU-caeb6cf1-3a04-7a6a-11e5-c93dc9bc561e',), gpu_assigned=None)
[10:51:49] stdout/INFO [2026-10-19|10:51:49|initializer] INFO --gpu GPU-caeb6cf1-3a04-7a6a-11e5-c93dc9bc561e -> GPU-caeb6cf1-3a04-7a6a-11e5-c93dc9bc561e
[10:51:49] stdout/INFO [2026-10-19|10:51:49|FrontendAPI] INFO Default sampling config (source=model): temperature=1.0, top_k=20, top_p=0.95
[10:51:49] stdout/INFO INFO: Started server process [13324]
[10:51:49] stdout/INFO INFO: Waiting for application startup.
[10:51:49] stdout/INFO INFO: Application startup complete.
[10:51:49] stdout/INFO INFO: Uvicorn running on http://172.20.1.121:1919 (Press CTRL+C to quit)
[10:51:52] stdout/INFO D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\server\launch.py:81: FutureWarning: torch.cuda._set_allocator_settings is deprecated. Use torch._C._accelerator_setAllocatorSettings instead.
[10:51:52] stdout/INFO scheduler = Scheduler(args)
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO Enabled expandable_segments (override via PYTORCH_ALLOC_CONF)
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO Auto-selected attention backend: qsa_sparse
[10:51:52] stdout/WARN [2026-10-19|10:51:52|core|rank=0] WARNING Page size is overridden to 64 for the qsa_sparse backend
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO Auto-selected MoE strategy: offload
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO No MoE cache sizing flag given; defaulting to --moe-cache-auto for auto-selected strategy 'offload'
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO Resolved config: moe_strategy='offload', attention_backend='qsa_sparse', cache_type='hybrid_radix', page_size=64
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO Free memory before loading model: 30.25 GiB
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO kernel triton selected; skipped torch: the checkpoint has no static activation scale (×14)
[10:51:52] stdout/INFO D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\torch\utils\_device.py:116: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:39.)
[10:51:52] stdout/INFO return func(*args, **kwargs)
[10:51:52] stdout/INFO [2026-10-19|10:51:52|core|rank=0] INFO kernel triton selected; skipped torch: the checkpoint has no static activation scale (×178)
[10:51:55] stdout/INFO Loading weights: 100%|██████████| 18/18 [00:02<00:00, 6.41it/s]
[10:51:55] stdout/INFO Process freetoken-TP0-scheduler:
[10:51:55] stdout/ERROR [2026-10-19|10:51:55|FrontendAPI] ERROR Backend supervisor: WeightLoadError: KeyError: 'model.layers.0.linear_attn.in_proj_qkvz.weight_scale'
[10:51:55] stdout/INFO Traceback (most recent call last):
[10:51:55] stdout/INFO File "python/freetoken/engine/engine.py", line 347, in freetoken.engine.engine._weight_load_context
[10:51:55] stdout/INFO File "python/freetoken/engine/engine.py", line 604, in freetoken.engine.engine.Engine._load_weights
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\layers\base.py", line 48, in load_state_dict
[10:51:55] stdout/INFO param.load_state_dict(
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\layers\base.py", line 48, in load_state_dict
[10:51:55] stdout/INFO param.load_state_dict(
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\layers\base.py", line 96, in load_state_dict
[10:51:55] stdout/INFO op.load_state_dict(state_dict, prefix=_concat_prefix(prefix, str(i)), _internal=True)
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\layers\base.py", line 48, in load_state_dict
[10:51:55] stdout/INFO param.load_state_dict(
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\layers\base.py", line 48, in load_state_dict
[10:51:55] stdout/INFO param.load_state_dict(
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\layers\base.py", line 43, in load_state_dict
[10:51:55] stdout/INFO item = state_dict.pop(_concat_prefix(prefix, name))
[10:51:55] stdout/INFO ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[10:51:55] stdout/INFO KeyError: 'model.layers.0.linear_attn.in_proj_qkvz.weight_scale'
[10:51:55] stdout/INFO
[10:51:55] stdout/INFO The above exception was the direct cause of the following exception:
[10:51:55] stdout/INFO
[10:51:55] stdout/INFO Traceback (most recent call last):
[10:51:55] stdout/INFO File "C:\Users\annawz\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\multiprocessing\process.py", line 314, in _bootstrap
[10:51:55] stdout/INFO self.run()
[10:51:55] stdout/INFO File "C:\Users\annawz\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\multiprocessing\process.py", line 108, in run
[10:51:55] stdout/INFO self._target(*self._args, **self._kwargs)
[10:51:55] stdout/INFO File "D:\Cache\FreeToken_Engine\FreeToken\venv\Lib\site-packages\freetoken\server\launch.py", line 81, in _run_scheduler
[10:51:55] stdout/INFO scheduler = Scheduler(args)
[10:51:55] stdout/INFO ^^^^^^^^^^^^^^^
[10:51:55] stdout/INFO File "python/freetoken/scheduler/scheduler.py", line 68, in freetoken.scheduler.scheduler.Scheduler.__init__
[10:51:55] stdout/INFO File "python/freetoken/engine/engine.py", line 420, in freetoken.engine.engine.Engine.__init__
[10:51:55] stdout/INFO File "python/freetoken/engine/engine.py", line 603, in freetoken.engine.engine.Engine._load_weights
[10:51:55] stdout/INFO File "C:\Users\annawz\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\contextlib.py", line 158, in __exit__
[10:51:55] stdout/INFO self.gen.throw(value)
[10:51:55] stdout/INFO File "python/freetoken/engine/engine.py", line 354, in _weight_load_context
[10:51:55] stdout/INFO freetoken.engine.engine.WeightLoadError: KeyError: 'model.layers.0.linear_attn.in_proj_qkvz.weight_scale'
[10:52:03] health/ERROR WeightLoadError: KeyError: 'model.layers.0.linear_attn.in_proj_qkvz.weight_scale' (×5)
[10:52:05] stdout/ERROR [2026-10-19|10:52:05|FrontendAPI] ERROR Backend worker is gone and cannot be restarted; stopping the API server
[10:52:05] stdout/INFO serve exited with code 15 (pid=8096)
Anything else
No response
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