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Support for orcarouter/Qwen3.8-Flash-Next-Uncensored-NVFP4 #738

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Description

@AnnaWZatGit

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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