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GPTBigCode 20b speculator variant #16

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GPTBigCode 20b speculator variant #16

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12 changes: 12 additions & 0 deletions fms_extras/models/speculator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -264,6 +264,13 @@ def flatten_batch(inp: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor, torch.

_llama_13b = {"emb_dim": 5120, "vocab_size": 32000, "n_predict": 3, "inner_dim": 4096}

_gpt_bigcode_20b = {
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@nairbv nairbv Apr 11, 2024

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can we add a comment on what this config comes from (e.g. where a user might find appropriate weights for it or how we arrived at the set of configs, a paper reference if relevant, etc)

"emb_dim": 6144,
"vocab_size": 49152,
"n_predict": 4,
"inner_dim": 4096,
}

_architecture_name = "mlp_speculator"


Expand All @@ -280,6 +287,11 @@ def factory(**user_kwargs):
models.register_model(
_architecture_name, "llama.13b", _mlp_speculator_factory_factory(_llama_13b)
)
models.register_model(
_architecture_name,
"gpt_bigcode.ibm.20b",
_mlp_speculator_factory_factory(_gpt_bigcode_20b),
)


def _rename_hf_weights_to_fms(orig_sd):
Expand Down