'model': 'qwen2', 'max_tokens': 4000, 'request_timeout': 180.0, 'api_base': 'http://localhost:11434/v1', 'api_version': None, 'organization': None, 'proxy': None, 'cognitive_services_endpoint': None, 'deployment_name': None, 'model_supports_json': True, 'tokens_per_minute':...
max_tokens: Optional[int] = None stream: bool = False class ChatCompletionResponseChoice(BaseModel): index: int message: ChatCompletionMessage finish_reason: Finish class ChatCompletionResponseStreamChoice(BaseModel): index: int delta: ChatCompletionMessage finish_reason: Optional[Finish] = None class...
max_tokens * 0.97)) used_token_count, msg = message_fit_in(msg, int(max_tokens * 0.97)) if "max_tokens" in gen_conf: gen_conf["max_tokens"] = min( gen_conf["max_tokens"], llm.max_tokens - used_token_count) max_tokens - used_token_count) answer = chat_mdl.chat( prompt_...
Bug Description So I'm using Ollama along with llamaindex. I followed the tutorial and docs and everything works fine until I try to edit the parameters like max_new_tokens. This is the code I'm using: from llama_index.llms.ollama import...
global_search:max_tokens:5000 第四步、运行 GraphRAG 构建知识图谱索引 构建知识图谱的索引需要一定的时间,构建过程如下所示: —4— 修改源码支持本地部署大模型 接下来修改源码,保证进行 local 和 global 查询时给出正确的结果。 第一步、修改成本地的 Embedding 模型 ...
容量不足矣运行当前选择的模型时,就会自动把负载平均分配给两张显卡,可以看到两张RTX 4070 Ti SUPER的显存都占用了12GB,GPU负载也是50%左右,实际上如果凑够48GB显存的话就能跑70/72B的模型,你可以选择两张RTX 4090或RTX 3090,也可选择三张16GB显存的显卡,实际上我们此前评测的影驰RTX 4060 Ti无双MAX显卡就非常...
# Use `max_new_tokens` to control the maximum output length. generated_ids = model.generate( model_inputs.input_ids, max_new_tokens=512 ) generated_ids = [ output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) ] response = tokenizer....
tokens_to_clear = { "<|endoftext|>" }, -- tokens to remove from the model's output request_body = { parameters = { max_new_tokens = 60, temperature = 0.2, top_p = 0.95, }, }, -- set this if the model supports fill in the middle ...
null# Save/load pathforthe trained adapter weights.adapter_path:"adapters"# Save the model everyNiterations.save_every:1000# Evaluate on the testsetafter trainingtest:false# Numberoftestsetbatches,-1uses the entire test set.test_batches:100# Maximum sequence length.max_seq_length:8192# Use ...
考虑到对手GPT 4o可能是一个100B左右的模型,405B的模型本质上是田忌赛马,用大杯打别家的中杯,不...