Mistral-7B Chat Int4 DownloadDescriptionThe Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets. PublisherMistral.ai Latest Version1.2 ModifiedNovember 13, 2024 ...
int top_logprobs An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used. float n How many chat completion choices to generate for each input...
python scripts/download.py --repo_id mistralai/Mistral-7B-Instruct-v0.1 python scripts/convert_hf_checkpoint.py --checkpoint_dir checkpoints/mistralai/Mistral-7B-Instruct-v0.1 ``` You're done! To execute the model just run: ```bash pip install sentencepiece python chat/base.py --checkpoint...
num_cpu_blocks: int, watermark: float = 0.01, sliding_window: Optional[int] = None, ) -> None: self.block_size = block_size self.num_total_gpu_blocks = num_gpu_blocks self.num_total_cpu_blocks = num_cpu_blocks self.block_sliding_window = None if sliding_window is not None: asser...
from_pretrained( pretrained_model_name_or_path="alexsherstinsky/Mistral-7B-v0.1-sharded", trust_remote_code=True, padding_side="left" ) bnb_config_4bit: BitsAndBytesConfig = BitsAndBytesConfig( load_in_4bit=True, load_in_8bit=False, llm_int8_threshold=6.0, llm_int8_has_fp16_weight...
completion_tokens int 回答tokens数 total_tokens int tokens总数 注意 :同步模式和流式模式,响应参数返回不同,详细内容参考示例描述。 同步模式下,响应参数为以上字段的完整json包。 流式模式下,各字段的响应参数为 data: {响应参数}。 请求示例(单轮) 以访问凭证access_token鉴权方式为例,说明如何调用API,示例如...
includingMistral Large and Mistral Small, available as serverless APIs with pay-as-you-go token-based billing. Open models includingMistral Nemo,Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01; available to also download and run on self-hosted ...
刚刚,面壁智能重磅开源了旗舰级端侧多模态模型MiniCPM,2B就能赶超Mistral-7B,还能越级比肩Llama2-13B。成本更是低到炸裂,170万tokens成本仅为1元! 最强旗舰端侧模型,重磅诞生! 就在刚刚,坐落在「宇宙中心」的面壁智能,重磅发布2B旗舰端侧大模型MiniCPM,并全面开源。
刚刚,面壁智能重磅开源了旗舰级端侧多模态模型MiniCPM,2B就能赶超Mistral-7B,还能越级比肩Llama2-13B。成本更是低到炸裂,170万tokens成本仅为1元! 最强旗舰端侧模型,重磅诞生! 就在刚刚,坐落在「宇宙中心」的面壁智能,重磅发布2B旗舰端侧大模型MiniCPM,并全面开源。
huggingface/swift-transformers Step 2: Download the converted Core ML models from this Hugging Face repo Step 3: Run inference using Swift: swift run transformers "Best recommendations for a place to visit in Paris in August 2024:" --max-length 200 Mistral7B-CoreML/StatefulMistralIn...