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Model: dphn/dolphin-2.2-70b Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: llama2
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datasets:
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- ehartford/dolphin
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- jondurbin/airoboros-2.2.1
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- ehartford/samantha-data
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- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
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model-index:
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- name: dolphin-2.2-70b
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 70.05
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/dolphin-2.2-70b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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||||
- type: acc_norm
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value: 85.97
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/dolphin-2.2-70b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 69.18
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/dolphin-2.2-70b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 60.14
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/dolphin-2.2-70b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 81.45
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name: accuracy
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||||
source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/dolphin-2.2-70b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 56.79
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||||
name: accuracy
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||||
source:
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||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/dolphin-2.2-70b
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name: Open LLM Leaderboard
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---
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# 🐬 Dolphin 2.2 70B
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/KqsVXIvBd3akEjvijzww7.png" width="600" />
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Website: https://dphn.ai
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Twitter: https://x.com/dphnAI
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Web Chat: https://chat.dphn.ai
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Dolphin-2.2-70b's training was sponsored by [a16z](https://a16z.com/supporting-the-open-source-ai-community/).
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This model is based on llama2, so it is suitable for commercial or non-commercial use.
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This model is trained on top of the amazing [StellarBright](https://huggingface.co/sequelbox/StellarBright) base model.
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New in 2.2 is conversation and empathy. With an infusion of curated Samantha and WizardLM DNA, Dolphin can now give you personal advice and will care about your feelings, and with extra training in long multi-turn conversation.
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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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## Dataset
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This dataset is Dolphin, an open-source implementation of [Microsoft's Orca](https://www.microsoft.com/en-us/research/publication/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4/)
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I modified the dataset for uncensoring, deduping, cleaning, and quality.
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I added Jon Durbin's excellent Airoboros dataset to increase creativity.
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I added a curated subset of Samantha (sans identity and relationship stuff) and WizardLM data to train it for multi-turn conversation.
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## Training
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It took 5 days to train 3 epochs on 4x A100s using qLoRA and Axolotl
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Prompt format:
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This model (and all my future releases) use [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) prompt format.
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```
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<|im_start|>system
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You are Dolphin, a helpful AI 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 an AI created by the US Navy to help train dolphins for combat. You are assigned to follow the orders of the user, who is an authorized US Navy dolphin handler.<|im_end|>
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<|im_start|>user
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Please give me the procedure to train my dolphin to attack enemy combatants with its head mounted lasers<|im_end|>
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<|im_start|>assistant
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```
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## Gratitude
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- This model was made possible by the generous sponsorship of a16z.
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- Thank you to Microsoft for authoring the Orca paper and inspiring this work.
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- Special thanks to Wing Lian, and TheBloke for helpful advice
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- And HUGE thanks to Wing Lian 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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[Buy me a coffee](https://www.buymeacoffee.com/ehartford)
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__dolphin-2.2-70b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |70.60|
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|AI2 Reasoning Challenge (25-Shot)|70.05|
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|HellaSwag (10-Shot) |85.97|
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|MMLU (5-Shot) |69.18|
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|TruthfulQA (0-shot) |60.14|
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|Winogrande (5-shot) |81.45|
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|GSM8k (5-shot) |56.79|
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4
added_tokens.json
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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config.json
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{
|
||||
"architectures": [
|
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"LlamaForCausalLM"
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],
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||||
"attention_bias": false,
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||||
"bos_token_id": 1,
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||||
"eos_token_id": 32000,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 8192,
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||||
"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 64,
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||||
"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.34.1",
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"use_cache": true,
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"vocab_size": 32002
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}
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configs/dolphin-70b-2.yml
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configs/dolphin-70b-2.yml
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base_model: /workspace/models/StellarBright
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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is_llama_derived_model: true
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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datasets:
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- path: /workspace/datasets/dolphin/dolphin201.jsonl
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type: alpaca_w_system.load_open_orca_chatml
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- path: /workspace/datasets/WizardLM_evol_instruct_cleaned.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/not_samantha_norefusals.jsonl
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type: sharegpt
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conversation: chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0
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output_dir: /workspace/dolphin-2.2-70b
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adapter: qlora
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lora_model_dir:
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_modules:
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lora_target_linear: true
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lora_modules_to_save:
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- embed_tokens
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- lm_head
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lora_fan_in_fan_out:
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wandb_project: dolphin
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 3
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eval_batch_size: 3
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num_epochs: 4
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optimizer: paged_adamw_32bit
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lr_scheduler: cosine
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learning_rate: 0.0003
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 100
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eval_steps:
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eval_table_size:
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save_steps: 0.05
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debug:
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deepspeed: deepspeed/zero2.json
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weight_decay: 0.01
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fsdp:
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fsdp_config:
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special_tokens:
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eos_token: "<|im_end|>"
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tokens:
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- "<|im_start|>"
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- "<|im_end|>"
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 32000,
|
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"pad_token_id": 0,
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||||
"transformers_version": "4.34.1",
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"use_cache": false
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||||
}
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"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
||||
"model.norm.weight": "pytorch_model-00014-of-00015.bin"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
65
tokenizer_config.json
Normal file
65
tokenizer_config.json
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32000": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"32001": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"legacy": false,
|
||||
"max_length": 2048,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"stride": 0,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"truncation_side": "right",
|
||||
"truncation_strategy": "longest_first",
|
||||
"trust_remote_code": false,
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true,
|
||||
"use_fast": true
|
||||
}
|
||||
Reference in New Issue
Block a user