prompt_eval_count: number of tokens in the prompt 03.提示词数量评估:提示词里词元的数量。 prompt_eval_duration: time spent in nanoseconds evaluating the prompt 04.提示词评估时间:评估提示词花费的纳秒时间。 eval_count: number of tokens in the response 05.评估数量:应答中的词元数量。 eval_durati...
prompt, unit_locations={"sources->base": (None, [[[base_unit_location]]])}, intervene_on_prompt=True, max_new_tokens=512, do_sample=True, eos_token_id=tokenizer.eos_token_id, early_stopping=True ) print(tokenizer.decode(reft_response[0], skip_special_tokens=True)) 三、litgpt 源代...
Get up and running with Llama 3, Mistral, Gemma, and other large language models. - ollama/cmd/interactive.go at main · prep/ollama
gguf格式是llama.cpp为了更好地加载到设备创造的一种格式，支持1.5位, 2位, 3位, 4位, 5位, 6...
Get up and running with Llama 3, Mistral, Gemma, and other large language models. - ollama/convert/convert.go at main · prep/ollama
--include_num_input_tokens_seen True \ --lora_rank 8 \ --lora_alpha 16 \ --lora_dropout 0 \ --lora_target q_proj LoRA模型合并导出 这里我们把训练的LoRA和原始的大模型进行融合,输出一个完整的模型文件,使用如下命令。合并后的模型可以自由地像使用原始的模型一样应用到其他下游环节,当然也可以递归...
本文主要介绍如何使用下面这几个工具进行微调,以及如何在Ollama中安装运行微调后的模型。 Llama3是Meta提供的一个开源大模型,包含8B和 70B两种参数规模,涵盖预训练和指令调优的变体。这个开源模型推出已经有一段时间,并且在许多标准测试中展示了其卓越的性能。特别是Llama3 8B,其具备小尺寸和高质量的输出使其成为边缘...
"}, ] inputs = tokenizer.apply_chat_template( messages, tokenize = True, add_generation_prompt = True, # Must add for generation return_tensors = "pt", ).to("cuda") outputs = model.generate(input_ids = inputs, max_new_tokens = 64, use_cache = True) tokenizer.batch_decode(...
eval_count: number of tokens in the response eval_duration: time in nanoseconds spent generating the response context: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory ...
eval_count: number of tokens the response eval_duration: time in nanoseconds spent generating the response context: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory response: empty if the response was streamed, if not...