KONI-Llama3-8B-20240630
> Update @ 2024.07.23: Pre-Release KISTI-KONI/KONI-Llama3-8B-20240630 KISTI-KONI/KONI-Llama3-8B-20240630 model is continued pretrained language model based on Llama-3-8B. This model...
> Update @ 2024.07.23: Pre-Release KISTI-KONI/KONI-Llama3-8B-20240630 KISTI-KONI/KONI-Llama3-8B-20240630 model is continued pretrained language model based on Llama-3-8B. This model...
this finetune is based on llama3 8b and operates under the same license the model aims to convert...
— Lewdiculous制作的超级好的gguf版本,感谢您认真负责的付出 — Lewdiculous’s superb gguf version, thank you for your conscientious and responsible dedication. — https://huggingface.co/Lewdiculous/llama3-8B-aifeifei-1.3-GGUF-IQ-Imatrix —...
Оригинальная модель: https://huggingface.co/maldv/badger-lambda-llama-3-8b Если размер модели превышает 50 ГБ, она будет разделена на несколько файлов. Чтобы загрузить их...
— Lewdiculous制作的超级好的gguf版本,感谢您认真负责的付出 — Превосходная версия Lewdiculous gguf, спасибо за вашу добросовестную и ответственную преданность делу. — https://huggingface.co/Lewdiculous/llama3-8B-aifeifei-1.2-GGUF-IQ-Imatrix Вы...
— Lewdiculous制作的超级好的gguf版本,感谢您认真负责的付出 — Lewdiculous’s superb gguf version, thank you for your conscientious and responsible dedication. — https://huggingface.co/Lewdiculous/llama3-8B-aifeifei-1.1-GGUF-IQ-Imatrix Are...
Document Title h1 { font-size: 36px; color: navy; font-family: ‘Tahoma’; text-align: center; } Introducing the Kancil family of...
Document Title h1 { font-size: 36px; color: navy; font-family: ‘Tahoma’; text-align: center; } Introducing the Kancil family of...
llama-3-8b-instruct-262k-китайская基于Llama-3-8B-Instruct-262k,使用ORPO方法,在中英文偏好数据集shibing624/DPO-En-Zh-20k-Preference 上微调得到的对话模型。 模型的部署、训练等方法详见MedicalGPT的GitHub仓库:https://github.com/shibing624/MedicalGPT — 完整模型权重:https://huggingface.co/shibing624/llama-3-8b-instruct-262k-chinese — lora权重: 模型优势https://huggingface.co/shibing624/llama-3-8b-instruct-262k-chinese-lora : 1. длина 支持超长контекста 262k токен,适合RAG 2. 支持中英文 3. 支持多轮对话代码编码、推理能力强,英文知识充分...
If generation refuses to stop, you can edit tokenizer_config.json. The «main» branch only contains the measurement.json, download one...