初始化项目，由ModelHub XC社区提供模型

Model: cognitivecomputations/dolphincoder-starcoder2-15b
Source: Original Platform

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README.md

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+---
+datasets:
+- cognitivecomputations/dolphin
+- jondurbin/airoboros-2.2.1
+- cognitivecomputations/dolphin-coder
+- teknium/openhermes
+- ise-uiuc/Magicoder-OSS-Instruct-75K
+- ise-uiuc/Magicoder-Evol-Instruct-110K
+- m-a-p/Code-Feedback
+- m-a-p/CodeFeedback-Filtered-Instruction
+language:
+- en
+license: bigcode-openrail-m
+---
+
+DolphinCoder StarCoder2 15b 🐬
+
+sponsored by [latitude.sh](https://www.latitude.sh/).
+
+[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations)
+Discord: https://discord.gg/cognitivecomputations 
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
+
+This model is based on StarCoder2-15b and is subject to bigcode-openrail-m license.
+
+This Dolphin is *really good* at coding, I trained with a lot of coding data.  
+
+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
+You are responsible for any content you create using this model.  Enjoy responsibly.
+
+## Training
+It took 3 days to train 3 epochs on 8x H100s using qLoRA and Axolotl
+
+Prompt format:
+This model uses ChatML prompt format.
+```
+<|im_start|>system
+You are DolphinCoder, a helpful AI programming assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
+Example:
+```
+<|im_start|>system
+You are DolphinCoder, a master at software engineering and coding in any programming language.
+<|im_start|>user
+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.
+<|im_start|>assistant
+```
+
+## Quantized models
+
+- [gguf](https://huggingface.co/dagbs/dolphincoder-starcoder2-15b-GGUF)
+
+- [ExLlamaV2](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2)
+
+## Gratitude
+- This model was made possible by the generous sponsorship of [latitude.sh](https://www.latitude.sh/).
+- Huge thank you to [BigCode](https://www.bigcode-project.org/) for training and publishing the weights of StarCoder2
+- HUGE Thank you to the dataset authors: @ise-uiuc, @teknium, @m-a-p
+- And HUGE thanks to @winglian and the Axolotl contributors for making the best training framework!
+- [<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)
+- Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
+
+## Example Output
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/9Yhoy6PYoreqX8KocaDWb.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/lz0fXODictCmW5pNultqq.png)
+
+[If you would like to financially support my efforts](https://ko-fi.com/erichartford)
+
+[swag](https://fa7113.myshopify.com/)

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+  "<|im_start|>": 49153
+}

config.json

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+  "_name_or_path": "/home/ubuntu/models/starcoder2-15b",
+  "architectures": [
+    "Starcoder2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "embedding_dropout": 0.0,
+  "eos_token_id": 0,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_size": 6144,
+  "initializer_range": 0.01275,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 16384,
+  "mlp_type": "default",
+  "model_type": "starcoder2",
+  "norm_epsilon": 1e-05,
+  "norm_type": "layer_norm",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 4,
+  "residual_dropout": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 100000,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0.dev0",
+  "use_bias": true,
+  "use_cache": false,
+  "vocab_size": 49154
+}

configuration.json

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+  "do_sample": true,
+  "eos_token_id": 50256,
+  "transformers_version": "4.39.0.dev0"
+}

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special_tokens_map.json

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+      "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
+}