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3 values
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=google/gemma-4-31B-it
farbodtavakkoli/OTel-2.0-LLM-31B-IT
7,084,920
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
orcarouter/Qwen3.8-27B-Uncensored-MLX
68,855
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
abliterated
huihui-ai/Huihui-Qwen3.8-27B-abliterated
31,767
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16
15,828
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
orcarouter/Qwen3.8-27B-Uncensored
15,341
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=Qwen/Qwen3.5-9B
empero-ai/Qwen3.8-9B-Distill
13,761
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=Qwen/Qwen3.5-35B-A3B
apodex/Apodex-1.1-mini
484
0.1.1.dev20260825050227
20260825-143051
diffusion
Diffusion LM — non-autoregressive inference path
DFlash
incoai/Qwen3.8-27B-DFlash2
105,786
0.1.1.dev20260825050227
20260825-143051
diffusion
Diffusion LM — non-autoregressive inference path
DFlash
z-lab/Qwen3.8-27B-DFlash2
64,984
0.1.1.dev20260825050227
20260825-143051
non-LLM-modality
OCR / VLA / segmentation / audio modality — not a text LM
whisper
superwhisper/s1-mini
3,474
0.1.1.dev20260825050227
20260825-143051
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
-NVFP4
nvidia/Qwen3.6-35B-A3B-NVFP4
12,163,610
0.1.1.dev20260825050227
20260825-143051
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
quantization_config in hub config
openai/gpt-oss-20b
7,056,476
0.1.1.dev20260825050227
20260825-143051
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
quantization_config in hub config
EschaLabs/Qwen3.8-27B-Escha-W2
2,319
0.1.1.dev20260825050227
20260825-143051
trust-remote-code
Custom modeling code via auto_map — not part of the stable AutoClass surface
auto_map present
inclusionAI/Ling-3.0-tiny
16,397
0.1.1.dev20260825050227
20260825-143051
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=google/gemma-4-31B-it
farbodtavakkoli/OTel-2.0-LLM-31B-IT
7,017,534
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
orcarouter/Qwen3.8-27B-Uncensored-MLX
79,395
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
abliterated
huihui-ai/Huihui-Qwen3.8-27B-abliterated
37,177
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
orcarouter/Qwen3.8-27B-Uncensored
17,567
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16
16,327
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=Qwen/Qwen3.5-35B-A3B
apodex/Apodex-1.1-mini
840
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=tri-fair-lab/Snowdon1.1-Small
thomsonreuters/Thomson-1.0-Small
214
0.1.1.dev20260826100239
20260826-152322
diffusion
Diffusion LM — non-autoregressive inference path
DFlash
incoai/Qwen3.8-27B-DFlash2
124,420
0.1.1.dev20260826100239
20260826-152322
diffusion
Diffusion LM — non-autoregressive inference path
DFlash
z-lab/Qwen3.8-27B-DFlash2
87,495
0.1.1.dev20260826100239
20260826-152322
non-LLM-modality
OCR / VLA / segmentation / audio modality — not a text LM
whisper
superwhisper/s1-mini
3,921
0.1.1.dev20260826100239
20260826-152322
non-generative
Non-generative model class (embedding / reranker / guard head)
Embedding-
Qwen/Qwen3-Embedding-0.6B
7,022,748
0.1.1.dev20260826100239
20260826-152322
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
-NVFP4
nvidia/Qwen3.6-35B-A3B-NVFP4
12,017,108
0.1.1.dev20260826100239
20260826-152322
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
quantization_config in hub config
EschaLabs/Qwen3.8-27B-Escha-W2
2,481
0.1.1.dev20260826100239
20260826-152322
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=google/gemma-4-31b-it
farbodtavakkoli/OTel-2.0-LLM-31B-IT
6,777,482
0.1.1.dev20260902101038
20260902-134049
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
orcarouter/Qwen3.8-27B-Uncensored-MLX
121,028
0.1.1.dev20260902101038
20260902-134049
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=Qwen/Qwen3.5-35B-A3B
apodex/Apodex-1.1-mini
2,500
0.1.1.dev20260902101038
20260902-134049
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
base_model=tri-fair-lab/Snowdon1.1-Small
thomsonreuters/Thomson-1.0-Small
1,130
0.1.1.dev20260902101038
20260902-134049
derivative-fork
Finetune / post-training fork of a base model (abliterated / uncensored / heretic / derestricted / distilled). Shares its base's architecture and contributes no new signal, so we sweep the base instead.
uncensored
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU
17
0.1.1.dev20260902101038
20260902-134049
diffusion
Diffusion LM — non-autoregressive inference path
DFlash
incoai/GLM-5.3-Flash-DFlash2
9,190
0.1.1.dev20260902101038
20260902-134049
non-LLM-modality
OCR / VLA / segmentation / audio modality — not a text LM
whisper
superwhisper/s1-mini
6,970
0.1.1.dev20260902101038
20260902-134049
non-generative
Non-generative model class (embedding / reranker / guard head)
Embedding-
Qwen/Qwen3-Embedding-0.6B
6,778,015
0.1.1.dev20260902101038
20260902-134049
non-generative
Non-generative model class (embedding / reranker / guard head)
Embedding-
tencent/WeMM-Embedding-9B
2,618
0.1.1.dev20260902101038
20260902-134049
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
-NVFP4
nvidia/Qwen3.6-35B-A3B-NVFP4
10,606,938
0.1.1.dev20260902101038
20260902-134049
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
quantization_config in hub config
openai/gpt-oss-20b
6,519,052
0.1.1.dev20260902101038
20260902-134049
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
-NVFP4
RadixArk/Qwen3.8-Flash-Next-NVFP4
133,491
0.1.1.dev20260902101038
20260902-134049
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
-NVFP4
LibertAIDAI/GLM-5.3-Flash-NVFP4
24,997
0.1.1.dev20260902101038
20260902-134049
quantized
Quantized model — TPU has no loader for AWQ / GPTQ / compressed-tensors / bnb
-NVFP4
QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4
6,099
0.1.1.dev20260902101038
20260902-134049
trust-remote-code
Custom modeling code via auto_map — not part of the stable AutoClass surface
auto_map present
pipecat-ai/phonellm-alpha-1
6,813
0.1.1.dev20260902101038
20260902-134049
trust-remote-code
Custom modeling code via auto_map — not part of the stable AutoClass surface
auto_map present
XHToken/Spark-X2.5-4B
429
0.1.1.dev20260902101038
20260902-134049

torch-tpu-model-support

Support sweep results for HuggingFace models on Google Cloud TPU with torch_tpu.

Each row is one model tested in one sweep. The sweep loads the model and generates 8 tokens with the fixed prompt "The future of AI is" in bf16.

Result values

  • PASS — model loaded and generated successfully
  • FAIL(load) — exception during model load
  • FAIL(gen) — load succeeded, generation raised
  • FAIL(output) — generation returned but the text was judged not valid English
  • FAIL(timeout) — killed after exceeding the sweep wall-clock budget
  • FAIL(other) — unclassified failure (render error, OOM, etc.)

Output judge

  • english — verdict of a small CPU instruct model asked whether the generated text is sensible English continuing the prompt: Y, N, or null for runs that predate the judge (or where it could not run).

Token counts

  • tokens_in — number of tokens submitted as input (after any chat templating for instruction-tuned models)
  • tokens_out — number of tokens generated beyond the input
  • Both columns are null for runs from sweeps that predate token counting.

Links

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