初始化项目，由ModelHub XC社区提供模型
Model: dphn/dolphincoder-starcoder2-7b Source: Original Platform
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ModelHub XC
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*.7z filter=lfs diff=lfs merge=lfs -text
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74
README.md
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README.md
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---
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datasets:
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- cognitivecomputations/dolphin
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- jondurbin/airoboros-2.2.1
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- cognitivecomputations/dolphin-coder
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- teknium/openhermes
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- m-a-p/Code-Feedback
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- m-a-p/CodeFeedback-Filtered-Instruction
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- microsoft/orca-math-word-problems-200k
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language:
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- en
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license: bigcode-openrail-m
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---
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DolphinCoder StarCoder2 7b 🐬
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sponsored by [latitude.sh](https://www.latitude.sh/).
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[](https://discord.gg/cognitivecomputations)
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Discord: https://discord.gg/cognitivecomputations
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
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This model is based on StarCoder2-7b and is subject to bigcode-openrail-m license.
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This Dolphin is *really good* at coding, I trained with a lot of coding data.
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This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models
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You are responsible for any content you create using this model. Enjoy responsibly.
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## Training
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It took 2 days to train 3 epochs on 8x L40S's using qLoRA and Axolotl
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Prompt format:
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This model uses ChatML prompt format.
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```
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<|im_start|>system
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You are DolphinCoder, a helpful AI programming assistant.<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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Example:
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```
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<|im_start|>system
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You are DolphinCoder, a master at software engineering and coding in any programming language.
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<|im_start|>user
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Please write me a program in golang that parses all the lines in a file, and reverses them character-wise, and saves it to a new file.
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<|im_start|>assistant
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```
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## Quantized models
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- [dagbs/-GGUF](https://huggingface.co/dagbs/dolphincoder-starcoder2-7b-GGUF)
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## Gratitude
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- This model was made possible by the generous sponsorship of [latitude.sh](https://www.latitude.sh/).
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- Welcome Microsoft to Open Source AI! Thank you for the Orca-Math Dataset!
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- Huge thank you to [BigCode](https://www.bigcode-project.org/) for training and publishing the weights of StarCoder2
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- HUGE Thank you to the dataset authors: @ise-uiuc, @teknium, @m-a-p
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- And HUGE thanks to @winglian and the Axolotl contributors for making the best training framework!
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- [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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- Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
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## Example Output
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[If you would like to financially support my efforts](https://ko-fi.com/erichartford)
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[swag](https://fa7113.myshopify.com/)
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config.json
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"activation_function": "gelu",
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"architectures": [
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"Starcoder2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"norm_epsilon": 1e-05,
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"norm_type": "layer_norm",
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"num_attention_heads": 36,
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"num_hidden_layers": 32,
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"torch_dtype": "bfloat16",
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}
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1
configuration.json
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"22": {
|
||||
"content": "<pr_file>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"23": {
|
||||
"content": "<pr_base_code>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"24": {
|
||||
"content": "<pr_diff>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"25": {
|
||||
"content": "<pr_diff_hunk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"26": {
|
||||
"content": "<pr_comment>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"27": {
|
||||
"content": "<pr_event_id>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"28": {
|
||||
"content": "<pr_review>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"29": {
|
||||
"content": "<pr_review_state>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"30": {
|
||||
"content": "<pr_review_comment>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"31": {
|
||||
"content": "<pr_in_reply_to_review_id>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32": {
|
||||
"content": "<pr_in_reply_to_comment_id>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"33": {
|
||||
"content": "<pr_diff_hunk_comment_line>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"34": {
|
||||
"content": "<NAME>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"35": {
|
||||
"content": "<EMAIL>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"36": {
|
||||
"content": "<KEY>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"37": {
|
||||
"content": "<PASSWORD>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"49152": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"49153": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|endoftext|>",
|
||||
"<fim_prefix>",
|
||||
"<fim_middle>",
|
||||
"<fim_suffix>",
|
||||
"<fim_pad>",
|
||||
"<repo_name>",
|
||||
"<file_sep>",
|
||||
"<issue_start>",
|
||||
"<issue_comment>",
|
||||
"<issue_closed>",
|
||||
"<jupyter_start>",
|
||||
"<jupyter_text>",
|
||||
"<jupyter_code>",
|
||||
"<jupyter_output>",
|
||||
"<jupyter_script>",
|
||||
"<empty_output>",
|
||||
"<code_to_intermediate>",
|
||||
"<intermediate_to_code>",
|
||||
"<pr>",
|
||||
"<pr_status>",
|
||||
"<pr_is_merged>",
|
||||
"<pr_base>",
|
||||
"<pr_file>",
|
||||
"<pr_base_code>",
|
||||
"<pr_diff>",
|
||||
"<pr_diff_hunk>",
|
||||
"<pr_comment>",
|
||||
"<pr_event_id>",
|
||||
"<pr_review>",
|
||||
"<pr_review_state>",
|
||||
"<pr_review_comment>",
|
||||
"<pr_in_reply_to_review_id>",
|
||||
"<pr_in_reply_to_comment_id>",
|
||||
"<pr_diff_hunk_comment_line>",
|
||||
"<NAME>",
|
||||
"<EMAIL>",
|
||||
"<KEY>",
|
||||
"<PASSWORD>"
|
||||
],
|
||||
"bos_token": "<|endoftext|>",
|
||||
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful assistant.' %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 %}{{'<|im_start|>system\n' + system_message + '<|im_end|>\n'}}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|im_end|>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "<|endoftext|>",
|
||||
"vocab_size": 49152
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user