vbatts/llama.cpp
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fix for use

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This commit is contained in:
Miwa / Ensan 2024-04-13 15:48:36 +09:00
parent ab9a3240a9
commit 8657b8fc94
2 changed files with 8 additions and 5 deletions
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6
convert-hf-to-gguf.py
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@ -1655,9 +1655,9 @@ class GPT2Model(Model):
self.gguf_writer.add_tensor(new_name, data)
# note: GPT2 output is tied to (same as) wte in original model
if new_name == "token_embd.weight":
print(f"output.weight, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
self.gguf_writer.add_tensor("output.weight", data)
# if new_name == "token_embd.weight":
# print(f"output.weight, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
# self.gguf_writer.add_tensor("output.weight", data)
@Model.register("PhiForCausalLM")

7
llama.cpp
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@ -11146,8 +11146,11 @@ struct llm_tokenizer_bpe {
const std::string str = std::string(symbol.text, symbol.n);
const auto token = vocab.token_to_id.find(str);
if (token == vocab.token_to_id.end()) {
// U+000A -> Ċ -> [UNK] (line feed, use [SEP] instead)
// U+0020 -> Ġ -> [UNK] (space, use U+3000 instead)
if (str == "Ċ" || str == "Ġ") {
output.push_back(vocab.token_to_id.at("[UNK]"));
} else if (token == vocab.token_to_id.end()) {
for (auto j = str.begin(); j != str.end(); ++j) {
std::string byte_str(1, *j);
auto token_multibyte = vocab.token_to_id.find(byte_str);