minimindy/lora-checkpoint-50

---
library_name: peft
base_model: baffo32/decapoda-research-llama-7B-hf
---

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## Training procedure

The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32

### Framework versions

- PEFT 0.6.3.dev0

原始信息汇总

数据集概述

模型详情

模型描述

• 开发方： 信息待补充
• 资金支持： 信息待补充
• 共享方： 信息待补充
• 模型类型： 信息待补充
• 语言： 信息待补充
• 许可证： 信息待补充
• 微调自模型： 信息待补充

模型来源

• 仓库： 信息待补充
• 论文： 信息待补充
• 演示： 信息待补充

使用场景

直接使用

信息待补充

下游使用

信息待补充

超出范围使用

信息待补充

偏差、风险和限制

信息待补充

建议

用户应了解模型的风险、偏差和限制。更多信息待补充。

如何开始使用模型

信息待补充

训练详情

训练数据

信息待补充

训练过程

预处理

信息待补充

训练超参数

• 训练制度： 信息待补充

速度、大小、时间

信息待补充

评估

测试数据、因素和指标

测试数据

信息待补充

因素

信息待补充

指标

信息待补充

结果

信息待补充

总结

信息待补充

模型检查

信息待补充

环境影响

• 硬件类型： 信息待补充
• 使用小时数： 信息待补充
• 云服务提供商： 信息待补充
• 计算区域： 信息待补充
• 碳排放量： 信息待补充

技术规格

模型架构和目标

信息待补充

计算基础设施

信息待补充

硬件

信息待补充

软件

信息待补充

引用

BibTeX：

信息待补充

APA：

信息待补充

术语表

信息待补充

更多信息

信息待补充

模型卡作者

信息待补充

模型卡联系

信息待补充

训练过程

训练过程中使用了以下 bitsandbytes 量化配置：

• quant_method: bitsandbytes
• load_in_8bit: True
• load_in_4bit: False
• llm_int8_threshold: 6.0
• llm_int8_skip_modules: None
• llm_int8_enable_fp32_cpu_offload: False
• llm_int8_has_fp16_weight: False
• bnb_4bit_quant_type: fp4
• bnb_4bit_use_double_quant: False
• bnb_4bit_compute_dtype: float32

框架版本

• PEFT 0.6.3.dev0