feat: Update llama.cpp
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d634efcdd9
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255e1b4495
3 changed files with 38 additions and 103 deletions
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@ -128,9 +128,9 @@ class _LlamaModel:
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assert self.model is not None
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assert self.model is not None
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return llama_cpp.llama_token_get_score(self.model, token)
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return llama_cpp.llama_token_get_score(self.model, token)
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def token_get_type(self, token: int) -> int:
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def token_get_attr(self, token: int) -> int:
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assert self.model is not None
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assert self.model is not None
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return llama_cpp.llama_token_get_type(self.model, token)
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return llama_cpp.llama_token_get_attr(self.model, token)
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# Special tokens
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# Special tokens
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@ -333,7 +333,7 @@ LLAMA_ROPE_TYPE_NEOX = 2
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LLAMA_ROPE_TYPE_GLM = 4
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LLAMA_ROPE_TYPE_GLM = 4
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# enum llama_token_type {
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# enum llama_token_type { //TODO: remove, required until per token attributes are available from GGUF file
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# LLAMA_TOKEN_TYPE_UNDEFINED = 0,
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# LLAMA_TOKEN_TYPE_UNDEFINED = 0,
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# LLAMA_TOKEN_TYPE_NORMAL = 1,
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# LLAMA_TOKEN_TYPE_NORMAL = 1,
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# LLAMA_TOKEN_TYPE_UNKNOWN = 2,
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# LLAMA_TOKEN_TYPE_UNKNOWN = 2,
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@ -351,6 +351,32 @@ LLAMA_TOKEN_TYPE_UNUSED = 5
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LLAMA_TOKEN_TYPE_BYTE = 6
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LLAMA_TOKEN_TYPE_BYTE = 6
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# enum llama_token_attr {
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# LLAMA_TOKEN_ATTR_UNDEFINED = 0,
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# LLAMA_TOKEN_ATTR_UNKNOWN = 1 << 0,
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# LLAMA_TOKEN_ATTR_UNUSED = 1 << 1,
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# LLAMA_TOKEN_ATTR_NORMAL = 1 << 2,
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# LLAMA_TOKEN_ATTR_CONTROL = 1 << 3, // SPECIAL?
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# LLAMA_TOKEN_ATTR_USER_DEFINED = 1 << 4,
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# LLAMA_TOKEN_ATTR_BYTE = 1 << 5,
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# LLAMA_TOKEN_ATTR_NORMALIZED = 1 << 6,
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# LLAMA_TOKEN_ATTR_LSTRIP = 1 << 7,
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# LLAMA_TOKEN_ATTR_RSTRIP = 1 << 8,
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# LLAMA_TOKEN_ATTR_SINGLE_WORD = 1 << 9,
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# };
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LLAMA_TOKEN_ATTR_UNDEFINED = 0
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LLAMA_TOKEN_ATTR_UNKNOWN = 1 << 0
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LLAMA_TOKEN_ATTR_UNUSED = 1 << 1
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LLAMA_TOKEN_ATTR_NORMAL = 1 << 2
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LLAMA_TOKEN_ATTR_CONTROL = 1 << 3
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LLAMA_TOKEN_ATTR_USER_DEFINED = 1 << 4
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LLAMA_TOKEN_ATTR_BYTE = 1 << 5
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LLAMA_TOKEN_ATTR_NORMALIZED = 1 << 6
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LLAMA_TOKEN_ATTR_LSTRIP = 1 << 7
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LLAMA_TOKEN_ATTR_RSTRIP = 1 << 8
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LLAMA_TOKEN_ATTR_SINGLE_WORD = 1 << 9
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# // model file types
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# // model file types
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# enum llama_ftype {
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# enum llama_ftype {
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# LLAMA_FTYPE_ALL_F32 = 0,
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# LLAMA_FTYPE_ALL_F32 = 0,
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@ -959,6 +985,9 @@ llama_grammar_p = ctypes.c_void_p
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# // modifies a preceding LLAMA_GRETYPE_CHAR or
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# // modifies a preceding LLAMA_GRETYPE_CHAR or
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# // LLAMA_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA])
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# // LLAMA_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA])
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# LLAMA_GRETYPE_CHAR_ALT = 6,
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# LLAMA_GRETYPE_CHAR_ALT = 6,
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# // any character (.)
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# LLAMA_GRETYPE_CHAR_ANY = 7,
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# };
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# };
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LLAMA_GRETYPE_END = 0
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LLAMA_GRETYPE_END = 0
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LLAMA_GRETYPE_ALT = 1
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LLAMA_GRETYPE_ALT = 1
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@ -967,6 +996,7 @@ LLAMA_GRETYPE_CHAR = 3
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LLAMA_GRETYPE_CHAR_NOT = 4
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LLAMA_GRETYPE_CHAR_NOT = 4
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LLAMA_GRETYPE_CHAR_RNG_UPPER = 5
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LLAMA_GRETYPE_CHAR_RNG_UPPER = 5
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LLAMA_GRETYPE_CHAR_ALT = 6
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LLAMA_GRETYPE_CHAR_ALT = 6
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LLAMA_GRETYPE_CHAR_ANY = 7
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# typedef struct llama_grammar_element {
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# typedef struct llama_grammar_element {
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@ -2438,11 +2468,11 @@ def llama_token_get_score(
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) -> float: ...
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) -> float: ...
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# LLAMA_API enum llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token);
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# LLAMA_API enum llama_token_attr llama_token_get_attr(const struct llama_model * model, llama_token token);
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@ctypes_function(
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@ctypes_function(
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"llama_token_get_type", [llama_model_p_ctypes, llama_token], ctypes.c_int
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"llama_token_get_attr", [llama_model_p_ctypes, llama_token], ctypes.c_int
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)
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)
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def llama_token_get_type(
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def llama_token_get_attr(
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model: llama_model_p, token: Union[llama_token, int], /
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model: llama_model_p, token: Union[llama_token, int], /
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) -> int: ...
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) -> int: ...
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@ -3200,104 +3230,9 @@ def llama_grammar_accept_token(
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# //
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# //
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# // Beam search
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# // Model split
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# //
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# //
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# struct llama_beam_view {
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# const llama_token * tokens;
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# size_t n_tokens;
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# float p; // Cumulative beam probability (renormalized relative to all beams)
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# bool eob; // Callback should set this to true when a beam is at end-of-beam.
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# };
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class llama_beam_view(ctypes.Structure):
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if TYPE_CHECKING:
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tokens: CtypesArray[llama_token]
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n_tokens: int
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p: float
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eob: bool
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_fields_ = [
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("tokens", llama_token_p),
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("n_tokens", ctypes.c_size_t),
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("p", ctypes.c_float),
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("eob", ctypes.c_bool),
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]
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# // Passed to beam_search_callback function.
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# // Whenever 0 < common_prefix_length, this number of tokens should be copied from any of the beams
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# // (e.g. beams[0]) as they will be removed (shifted) from all beams in all subsequent callbacks.
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# // These pointers are valid only during the synchronous callback, so should not be saved.
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# struct llama_beams_state {
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# struct llama_beam_view * beam_views;
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# size_t n_beams; // Number of elements in beam_views[].
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# size_t common_prefix_length; // Current max length of prefix tokens shared by all beams.
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# bool last_call; // True iff this is the last callback invocation.
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# };
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class llama_beams_state(ctypes.Structure):
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if TYPE_CHECKING:
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beam_views: CtypesArray[llama_beam_view]
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n_beams: int
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common_prefix_length: int
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last_call: bool
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_fields_ = [
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("beam_views", ctypes.POINTER(llama_beam_view)),
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("n_beams", ctypes.c_size_t),
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("common_prefix_length", ctypes.c_size_t),
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("last_call", ctypes.c_bool),
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]
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# // Type of pointer to the beam_search_callback function.
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# // void* callback_data is any custom data passed to llama_beam_search, that is subsequently
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# // passed back to beam_search_callback. This avoids having to use global variables in the callback.
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# typedef void (*llama_beam_search_callback_fn_t)(void * callback_data, struct llama_beams_state);
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llama_beam_search_callback_fn_t = ctypes.CFUNCTYPE(
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None, ctypes.c_void_p, llama_beams_state
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)
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# /// @details Deterministically returns entire sentence constructed by a beam search.
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# /// @param ctx Pointer to the llama_context.
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# /// @param callback Invoked for each iteration of the beam_search loop, passing in beams_state.
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# /// @param callback_data A pointer that is simply passed back to callback.
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# /// @param n_beams Number of beams to use.
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# /// @param n_past Number of tokens already evaluated.
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# /// @param n_predict Maximum number of tokens to predict. EOS may occur earlier.
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# /// @param n_threads Number of threads as passed to llama_eval().
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# LLAMA_API void llama_beam_search(
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# struct llama_context * ctx,
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# llama_beam_search_callback_fn_t callback,
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# void * callback_data,
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# size_t n_beams,
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# int32_t n_past,
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# int32_t n_predict);
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@ctypes_function(
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"llama_beam_search",
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[
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llama_context_p_ctypes,
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llama_beam_search_callback_fn_t,
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ctypes.c_void_p,
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ctypes.c_size_t,
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ctypes.c_int32,
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ctypes.c_int32,
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],
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None,
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)
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def llama_beam_search(
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ctx: llama_context_p,
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callback: CtypesFuncPointer,
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callback_data: ctypes.c_void_p,
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n_beams: Union[ctypes.c_size_t, int],
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n_past: Union[ctypes.c_int, int],
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n_predict: Union[ctypes.c_int, int],
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/,
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): ...
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# /// @details Build a split GGUF final path for this chunk.
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# /// @details Build a split GGUF final path for this chunk.
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# /// llama_split_path(split_path, sizeof(split_path), "/models/ggml-model-q4_0", 2, 4) => split_path = "/models/ggml-model-q4_0-00002-of-00004.gguf"
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# /// llama_split_path(split_path, sizeof(split_path), "/models/ggml-model-q4_0", 2, 4) => split_path = "/models/ggml-model-q4_0-00002-of-00004.gguf"
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# // Returns the split_path length.
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# // Returns the split_path length.
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2
vendor/llama.cpp
vendored
2
vendor/llama.cpp
vendored
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@ -1 +1 @@
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Subproject commit bde7cd3cd949c1a85d3a199498ac98e78039d46f
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Subproject commit ee459f40f65810a810151b24eba5b8bd174ceffe
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