Replete-Coder-Merged-8b 是一个通用模型,专门在超过 100 种编程语言中进行编码训练。

8B

88 拉取 更新于 5 周前

5 周前

6d080f9634ab · 4.0GB

model
llama
·
8.03B
·
Q3_K_M
license
META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release Date: April 18, 2024 “Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. “Documentation” means the specifications, manuals and documentation accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/. “Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. “Meta Llama 3” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://llama.meta.com/llama-downloads. “Llama Materials” means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any portion thereof) made available under this Agreement. “Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. 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template
{{ if .System }}<|start_header_id|>system<|end_header_id|> {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|> {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|> {{ .Response }}<|eot_id|>
params
{"num_keep":24,"stop":["<|start_header_id|>","<|end_header_id|>","<|eot_id|>"]}

README

Replete-AI/Replete-Coder-Instruct-8b-Merged

  • fp32 进行量化
  • 使用 i-matrix calibration_datav3.txt 校准

Replete-Coder-Instruct-8b-Merged

微调者:Rombodawg

不仅是编程模型!

尽管 Replete-Coder 在编程方面具有惊人的功能,但它训练在大量非编码数据上,这是完全清洁和无审查的。不要仅仅将其用于编程,将其用于您所有的需求!我们真正致力于打造 GPT 杀手!
image/png

感谢 TensorDock 持续赞助 Replete-Coder-llama3-8b 和 Replete-Coder-Qwen2-1.5b
您可以通过以下网站查看其云计算租赁服务。
- https://tensordock.com


Replete-Coder-llama3-8b 是一个通用模型,专门在超过 100 种编程语言中进行编码训练。用于训练模型的数据包含 25% 的非编码指令数据,75% 的编码指令数据,总共有 390 万行,约 10 亿个标记,或 7.27GB 的指令数据。用于训练此模型的数据是 100% 无审查的,然后完全去重,之后才开始训练。

Replete-Coder 模型(包括 Replete-Coder-llama3-8b 和 Replete-Coder-Qwen2-1.5b)具有以下特点

  • 在超过 100 种编程语言中的高级编程能力
  • 高级代码翻译(跨语言)
  • 与安全和漏洞预防相关的编码能力
  • 通用使用
  • 无审查使用
  • 函数调用
  • 高级数学使用
  • 在低端(8b)和移动(1.5b)平台上使用

通知:Replete-Coder系列模型在8192个token的上下文中进行微调。此上下文窗口之外的性能不能保证。

image/png


以下为25%的非编码指令

以下为75%的编码特定指令数据

这两个数据集被合并,创建了以下最终的训练数据集

### System:
{}

### Instruction:
{}

### Response:
{}

注意:系统提示在教学数据中有所变化,但最常用的是

Below is an instruction that describes a task, Write a response that appropriately completes the request.

结束标记

<|endoftext|>

感谢社区对Replete-AI/code_bagel_hermes-2.5数据集的贡献。如果没有这么多成员将他们的数据集免费和开源供任何人使用,这个令人惊叹的AI模型是不可能实现的。

特别感谢Teknium为Open-Hermes-2.5数据集以及jondurbin为bagel数据集和code_bagel系列数据集的命名提供的创意。您可以在以下链接找到他们的huggingface账号

另特别感谢unsloth作为Replete-Coder的主要训练方法。以下您可以看到他们的github,以及用于训练此模型的特殊Replete-Ai秘密调料(Unsloth + Qlora + Galore)colab代码文档。