Firefly(流萤): 中文对话式大语言模型(全量微调+QLoRA),支持微调Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya、Bloom等大模型 - 修复QWenTokenizer只有eod_id的问题,兼容所有tokenizer · googx/Firefly@67dd449
tokenizer.eod) 来自:帮助中心 查看更多 → 推理性能测试 ata/HumanEval.jsonl.gz下载压缩包解压获得。 --tokenizer:tokenizer路径,可以是HuggingFace的权重路径,backend取值是openai时,tokenizer路径需要和推理服务启动时--model路径保持一致,比如--model 来自:帮助中心 查看更多 → 准备权重 ├── READ...
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llama_factory_template, self.tokenizer.tokenizer) if self.args.append_eod: tokenized_full_prompt["input_ids"].append(self.tokenizer.eod) 来自:帮助中心 查看更多 → 准备权重 ├── README.md ├── special_tokens_map.json ├──tokenizer_config.json ├──tokenizer.json ├──tokenizer.model ...
一、问题现象(附报错日志上下文): llama-3-8b-instruct使用examples/llama3/generate_llama3_8b_chat_ptd.sh加载完成后,推理时出现 TypeError:_batch_encode_plus() got an unexpected keyword argument 'tokenizer' 二、软件版本: -- CANN 版本 (e.g., CANN 3.0.x,5.x.x): 7.0.0 ...
一、问题现象(附报错日志上下文): llama-3-8b-instruct使用examples/llama3/generate_llama3_8b_chat_ptd.sh加载完成后,推理时出现 TypeError:_batch_encode_plus() got an unexpected keyword argument 'tokenizer' 二、软件版本: -- CANN 版本 (e.g., CANN 3.0.x,5.x.x): 7.0.0 ...
#version: 0.2 - Trained by `huggingface/tokenizers` Ġ t h e Ġ a i n Ġt he Ġ o Ġ s r e Ġ w n d e r o n a t Ġ b i s Ġ c e d Ġ h i t e n Ġo f Ġ f Ġ p Ġ m Ġa nd o u e s in g Ġ in Ġ d Ġt o o r a r ...
(self): return -1 @property def eod(self): return self._eos_id @property def additional_special_tokens_ids(self): return None class _NullTokenizer: def __init__(self, vocab_size): vocab_size = int(vocab_size) self._eos_id = vocab_size self.vocab_size = vocab...
(self.model, 'eod_id'): # Qwen remote self.model.eos_token_id = self.model.eod_id # for stop words self._vocab_size_with_added: int = None self._maybe_decode_bytes: bool = None # TODO maybe lack a constant.py self._indexes_tokens_deque = deque(maxlen=10) self.max_indexes_...
tokenizer.tokenizer) if self.args.append_eod: tokenized_full_prompt["input_ids"].append(self.tokenizer.eod) 来自:帮助中心 查看更多 → SFT全参微调数据处理 parquet \ --tokenizer-name-or-path $TOKENIZER_PATH \ --output-prefix $DATA_PATH \ --workers 8 \ --log-interval 1000 \ --...