fix: format
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1 changed files with 13 additions and 8 deletions
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@ -197,13 +197,14 @@ class Llama:
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# kv_overrides is the original python dict
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self.kv_overrides = kv_overrides
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if kv_overrides is not None:
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# _kv_overrides_array is a ctypes.Array of llama_model_kv_override Structs
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kvo_array_len = len(kv_overrides) + 1 # for sentinel element
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self._kv_overrides_array = (llama_cpp.llama_model_kv_override * kvo_array_len)()
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self._kv_overrides_array = (
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llama_cpp.llama_model_kv_override * kvo_array_len
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)()
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for i, (k, v) in enumerate(kv_overrides.items()):
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self._kv_overrides_array[i].key = k.encode('utf-8');
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self._kv_overrides_array[i].key = k.encode("utf-8")
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if isinstance(v, int):
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self._kv_overrides_array[i].tag = llama_cpp.LLAMA_KV_OVERRIDE_INT
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self._kv_overrides_array[i].value.int_value = v
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@ -216,7 +217,9 @@ class Llama:
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else:
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raise ValueError(f"Unknown value type for {k}: {v}")
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self._kv_overrides_array[-1].key = b'\0' # ensure sentinel element is zeroed
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self._kv_overrides_array[
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-1
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].key = b"\0" # ensure sentinel element is zeroed
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self.model_params.kv_overrides = self._kv_overrides_array
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self.n_batch = min(n_ctx, n_batch) # ???
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@ -326,7 +329,9 @@ class Llama:
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(n_ctx, self._n_vocab), dtype=np.single
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)
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self._mirostat_mu = ctypes.c_float(2.0 * 5.0) # TODO: Move this to sampling context
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self._mirostat_mu = ctypes.c_float(
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2.0 * 5.0
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) # TODO: Move this to sampling context
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try:
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self.metadata = self._model.metadata()
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@ -534,7 +539,7 @@ class Llama:
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candidates=self._candidates,
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tau=mirostat_tau,
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eta=mirostat_eta,
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mu=ctypes.pointer(self._mirostat_mu)
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mu=ctypes.pointer(self._mirostat_mu),
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)
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else:
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self._ctx.sample_top_k(candidates=self._candidates, k=top_k, min_keep=1)
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