Chinese chat base
According to the model card, the model starts from shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat and finetunes listed Chinese datasets via Unsloth.
Open Source Model Profile · stephenlzc
Mistral-7B-v0.3-Chinese-Chat-uncensored is a Mistral text-generation fine-tune from stephenlzc with about 7.25B parameters. According to the model card, it uncensors a Chinese chat base model via Unsloth.
Mistral-7B-v0.3-Chinese-Chat-uncensored is published by stephenlzc as a text-generation model. The captured configuration identifies MistralForCausalLM with model type mistral, and Safetensors metadata reports 7,248,023,552 parameters. According to the model card, it finetunes shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat on listed Chinese datasets via Unsloth, with a recorded mit license.
According to the model card, the model starts from shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat and finetunes listed Chinese datasets via Unsloth.
According to the model card, the finetune makes the model uncensored.
According to the model card, training ran on Vast.ai with one A100 SXM4 80GB GPU and the listed CPU, RAM, disk, and Docker configuration.
According to the model card, the card shows Transformers pipeline usage for question answering with this model.
Source: stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored
Captured: Unknown. Processed: 2026-09-07T19:34:58.606317+00:00.
Model Details Model Description Using shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat as base model, and finetune the dataset as mentioned via unsloth . Makes the model uncensored. Training Code Training Procedure Raw Files ALL the procedure are training on Vast.ai Hardware in Vast.ai : GPU : 1x A100 SXM4 80GB CPU : AMD EPYC 7513 32-Core Processor RAM : 129 GB Disk Space To Allocate :>150GB Docker Image : pytorch/pytorch:2.2.0-cuda12.1-cudnn8-devel Download the ipynb file . Training Data Base Model shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat Dataset Minami-su/toxic-sft-zh llm-wizard/alpaca-gpt4-data-zh stephenlzc/stf-alpaca Usage from trans…
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