A tt-model v6 thin bundle that serves Cloudflare/clef (revision
2f3de3dd85f379784083b0814d997ab627200f0c
) on 2 Tenstorrent blackhole chips (mesh P150x2). The tt-orchard harness staged it from a run of that model.
License
The weights this bundle points to are licensed Apache 2.0 (
https://www.apache.org/licenses/LICENSE-2.0
).
The bundle ships no weights.
tt-model
downloads them from Cloudflare/clef with your own Hugging Face account.
What it runs
Weights: Cloudflare/clef at revision
2f3de3dd85f379784083b0814d997ab627200f0c
.
Model code: the Tenstorrent implementation of Qwen/Qwen3.8-27B, taken from the bundle qwen3.8-27b-dflash2-p300. Cloudflare/clef has the same text architecture, so only the weights differ.
At each start the launcher builds
model-dir/
from the configuration files of Qwen/Qwen3.8-27B (shipped in
base_config/
) and the tokenizer and weights of Cloudflare/clef. It sets MODEL_WEIGHTS_DIR and HF_MODEL to that directory, so the chips load the weights of Cloudflare/clef.
Context length 262144 tokens; up to 4 sequences at a time.
Speculative decoding is off. The drafter of Qwen/Qwen3.8-27B needs the MTP tensors of the model, and Cloudflare/clef has none.
Sampling runs on the host, because on-device sampling is not used with the drafter off on this mesh.
Not served
Cloudflare/clef ships files this bundle does not load:
joint_head.safetensors
. The bundle serves the language-model backbone only, so the sidecar head is not served. The run checked the head on the host against the CPU reference; that check does not make it part of this bundle.
Intended use
Text generation with Cloudflare/clef through the OpenAI-compatible server that
tt-model serve
starts.
Out of scope: the sidecar head, which this bundle does not serve.
Expected performance
Every number is labelled. A
measured
number names its evidence files; the first file holds the value. The files are in this repository under
evidence/
, at the paths shown, with the run's directory, the home directory and the host name replaced by
<RUN_DIR>
,
<HOME>
and
<HOST>
.
TODO
means not measured.
Number
Value
Label
Evidence
top1 agreement with the CPU reference, stage 2 (2 chips, bundle qwen3.8-27b-dflash2-p300)
Tested on 2 chips (mesh P150x2) only; other configurations are not claimed by this bundle.
Accuracy was compared with the CPU reference on one short fixed prompt only.
Speculative decoding is off, so decode speed is that of plain decoding.
Sampling runs on the host.
joint_head.safetensors
is not served.
Risks and safety considerations
The check above does not cover long outputs, tool calling or safety behaviour. Output can differ from Cloudflare/clef run on a CPU or GPU in ways it does not show.
Not measured
a download of the weights through
tt-model pull
, and a boot of the package from the Hub
Boot check
Stage 7 of the run installed this bundle, served it on a leased board and compared its tokens with the CPU reference. The Expected performance table has the result.
How to serve
tt-model serve episod/clef-p300
Runs of episod clef-p300 on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About clef-p300 huggingface.co Model
clef-p300 huggingface.co is an AI model on huggingface.co that provides clef-p300's model effect (), which can be used instantly with this episod clef-p300 model. huggingface.co supports a free trial of the clef-p300 model, and also provides paid use of the clef-p300. Support call clef-p300 model through api, including Node.js, Python, http.
clef-p300 huggingface.co is an online trial and call api platform, which integrates clef-p300's modeling effects, including api services, and provides a free online trial of clef-p300, you can try clef-p300 online for free by clicking the link below.
episod clef-p300 online free url in huggingface.co:
clef-p300 is an open source model from GitHub that offers a free installation service, and any user can find clef-p300 on GitHub to install. At the same time, huggingface.co provides the effect of clef-p300 install, users can directly use clef-p300 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.