false, "num_ctx": 1024, "num_batch": 2, "num_gqa": 1, "num_gpu": 1, "main_gpu": 0, "low_vram": false, "f16_kv": true, "vocab_only": false, "use_mmap": true, "use_mlock": false, "rope_frequency_base": 1.1, "rope_frequency_scale": 0.8, "num_thread": 8 } }'...
By default, Ollama uses a context window size of 2048 tokens. To change this when usingollama run, use/set parameter: /set parameter num_ctx 4096 When using the API, specify thenum_ctxparameter: curl http://localhost:11434/api/generate -d'{"model": "llama3.1","prompt": "Why is the...
一些Llama3 微调工具以及如何在 Ollama 中运行 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Llama...
fromollama_python.endpointsimportGenerateAPIapi=GenerateAPI(base_url="http://localhost:8000",model="mistral")forresinapi.generate(prompt="Hello World",options=dict(num_tokens=10),format="json",stream=True):print(res.response) fromollama_python.endpointsimportGenerateAPIapi=GenerateAPI(base_url="...
某些模型需要,例如 llama2:70b 需要设置为 8 整数 num_ gqa 1 num_gpu 发送到 GPU 的层数。在 macOS 上,默认值为 1 以启用 Metal 支持,为 0 则禁用。 整数 num_gpu 50 num_thread 设置计算过程中要使用的线程数。默认情况下,Ollama 会检测以获得最佳性能。建议将此值设置为系统实际物理 CPU 核心数(...
self.max_tokens = max_tokens self.token_encoder = tiktoken.get_encoding(self.encoding_name) self.retry_error_types = retry_error_types self.embedding_dim = 384 # Nomic-embed-text model dimension self.ollama_client = ollama.Client() ...
Trying to get API response from ollama setup in Azure virtual machine (ubuntu) Upon going through docs, first we need to run Ollama server by setting the host port and the allowed origins to communicate with it. Run export OLLAMA_HOST="0.0.0.0:8888" OLLAMA_ORIGINS=&... ...
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 response: empty if the response was streamed, if ...
"tokenizer.ggml.eos_token_id": 128009, "tokenizer.ggml.merges": [], // populates if `verbose=true` "tokenizer.ggml.model": "gpt2", "tokenizer.ggml.pre": "llama-bpe", "tokenizer.ggml.token_type": [], // populates if `verbose=true` "tokenizer.ggml.tokens": [] // populate...
# Get the type compute_dtype = getattr(torch, bnb_4bit_compute_dtype) # BitsAndBytesConfig int-4 config bnb_config = BitsAndBytesConfig( load_in_4bit=use_4bit, bnb_4bit_use_double_quant=use_double_nested_quant, bnb_4bit_quant_type=bnb_4bit_quant_type, ...