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A
tiny, randomly-initialised
Llama pair for exercising
subfolder
loading of
a speculative draft model. It exists so inference engines can test the code path
in CI without downloading a real checkpoint.
These weights are random. The model produces gibberish. That is the point.
Both share the same tokenizer and vocabulary, so the draft is a valid speculator
for the target.
Why a subfolder needs engine support
A Hugging Face repo id may contain
at most one
/
, so
org/repo/DFlash
is
not a valid id and cannot be passed as a single string. A draft bundled inside
its target's repository therefore has to be addressed as a repo id
plus
a
separate sub-path, which most engines have no parameter for.
This matters in practice: shipping a draft inside its target repo keeps the pair
versioned together and downloadable in one fetch, rather than as two repos that
can drift apart.
Usage
from huggingface_hub import snapshot_download
snapshot_download("poolside/spec-decoding-subfolder-fixture") # target + draft
snapshot_download("poolside/spec-decoding-subfolder-fixture",
allow_patterns=["DFlash/*"]) # draft only
Engines adding support should accept the draft as
(model="poolside/spec-decoding-subfolder-fixture", subfolder="DFlash")
.
Provenance
Built with
transformers
from
LlamaConfig
(hidden 64, intermediate 128,
4 heads, tied embeddings),
torch.manual_seed(0)
. Tokenizer copied from
hf-internal-testing/llama-tokenizer
. No trained parameters, no proprietary
data.
Runs of poolside spec-decoding-subfolder-fixture on huggingface.co
134
Total runs
0
24-hour runs
5
3-day runs
123
7-day runs
134
30-day runs
More Information About spec-decoding-subfolder-fixture huggingface.co Model
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spec-decoding-subfolder-fixture install url in huggingface.co: