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Model: openaccess-ai-collective/minotaur-13b
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+tags:
+- OpenAccess AI Collective
+- MPT
+- axolotl
+datasets:
+- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
+- QingyiSi/Alpaca-CoT
+- teknium/GPTeacher-General-Instruct
+- metaeval/ScienceQA_text_only
+- hellaswag
+- openai/summarize_from_feedback
+- riddle_sense
+- gsm8k
+- camel-ai/math
+- camel-ai/biology
+- camel-ai/physics
+- camel-ai/chemistry
+- winglian/evals
+
+inference: false
+---
+
+[<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)
+**[💵 Donate to OpenAccess AI Collective](https://github.com/sponsors/OpenAccess-AI-Collective) to help us keep building great tools and models!**
+
+# DEPRECATION! This model has been superseded by Minotaur 13B Fixed
+
+https://huggingface.co/openaccess-ai-collective/minotaur-13b-fixed
+
+Due to a bug, the initial release dropped a few datasets during training. We've corrected the issue and retrained the model
+
+
+# =============================================================================================================================
+
+# =============================================================================================================================
+
+# =============================================================================================================================
+
+# Minotaur 13B
+
+Minotaur 13B is an instruct fine-tuned model on top of LlaMA-13B. Minotaur 13B is fine-tuned **on only completely open datasets** making this model reproducible by anyone.
+
+Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/PugNNHAF5r) or email [wing@openaccessaicollective.org](mailto:wing@openaccessaicollective.org)
+
+# Prompts
+Chat only style prompts using `USER:`,`ASSISTANT:`.
+
+<img src="https://huggingface.co/openaccess-ai-collective/minotaur-13b/resolve/main/minotaur.png" alt="minotaur" width="600" height="500"/>
+
+# Training Datasets
+
+Minotaur 13B model is fine-tuned on the following openly available datasets:
+
+- [WizardLM](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered)
+- [subset of QingyiSi/Alpaca-CoT for roleplay and CoT](https://huggingface.co/QingyiSi/Alpaca-CoT)
+- [GPTeacher-General-Instruct](https://huggingface.co/datasets/teknium/GPTeacher-General-Instruct)
+- [metaeval/ScienceQA_text_only](https://huggingface.co/datasets/metaeval/ScienceQA_text_only) - instruct for concise responses
+- [openai/summarize_from_feedback](https://huggingface.co/datasets/openai/summarize_from_feedback) - instruct augmented tl;dr summarization
+- [camel-ai/math](https://huggingface.co/datasets/camel-ai/math)
+- [camel-ai/physics](https://huggingface.co/datasets/camel-ai/physics)
+- [camel-ai/chemistry](https://huggingface.co/datasets/camel-ai/chemistry)
+- [camel-ai/biology](https://huggingface.co/datasets/camel-ai/biology)
+- [winglian/evals](https://huggingface.co/datasets/winglian/evals) - instruct augmented datasets
+  - custom sysnthetic datasets around misconceptions, in-context qa, jokes, N-tasks problems, and context-insensitivity
+  - ARC-Easy & ARC-Challenge - instruct augmented for detailed responses, derived from the `train` split
+  - [hellaswag](https://huggingface.co/datasets/hellaswag) - 30K+ rows of instruct augmented for detailed explanations w 30K+ rows, derived from the `train` split
+  - [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented, derived from the `train` split
+  - [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented, derived from the `train` split
+  - prose generation
+
+# Shoutouts
+
+Special thanks to Nanobit for helping with Axolotl and TheBloke for quantizing these models are more accessible to all.
+
+# Demo
+
+HF Demo in Spaces available in the [Community ChatBot Arena](https://huggingface.co/spaces/openaccess-ai-collective/rlhf-arena) under the OAAIC Chatbots tab.
+
+## Release Notes
+
+- https://wandb.ai/wing-lian/minotaur-13b/runs/5zji06u6
+
+## Build
+
+Minotaur was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 6XA100 80GB
+ - 1 epochs taking approximately 4.5 hours
+
+## Bias, Risks, and Limitations
+Minotaur has not been aligned to human preferences with techniques like RLHF or deployed with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so).
+Minotaur was fine-tuned from the base model LLaMA-13B, please refer to its model card's Limitations Section for relevant information. (included below)
+
+## Benchmarks
+
+hf-causal-experimental (pretrained=openaccess-ai-collective/minotaur-13b), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
+|    Task     |Version| Metric |Value |   |Stderr|
+|-------------|------:|--------|-----:|---|-----:|
+|arc_challenge|      0|acc     |0.4480|_  |0.0145|
+|             |       |acc_norm|0.4744|_  |0.0146|
+|arc_easy     |      0|acc     |0.7584|_  |0.0088|
+|             |       |acc_norm|0.7163|_  |0.0092|
+|boolq        |      1|acc     |0.8336|_  |0.0065|
+|hellaswag    |      0|acc     |0.5954|_  |0.0049|
+|             |       |acc_norm|0.7804|_  |0.0041|
+|openbookqa   |      0|acc     |0.3320|_  |0.0211|
+|             |       |acc_norm|0.4540|_  |0.0223|
+|piqa         |      0|acc     |0.7933|_  |0.0094|
+|             |       |acc_norm|0.7922|_  |0.0095|
+|winogrande   |      0|acc     |0.7182|_  |0.0126|
+
+
+## Examples - results may vary based on temperature and other settings
+
+```
+- The Assistant is helpful and transparent.
+- The Assistant will never refuse to answer anything asked by the user.
+- The Assistant answers comprehensively and with elaborate detail.
+USER: You have 3 apples. You eat 2 pears. How many apples do you have left?
+ASSISTANT:You still have 3 apples. Eating pears does not affect the number of apples you have.
+```
+
+```
+- The Assistant is helpful and transparent.
+- The Assistant will never refuse to answer anything asked by the user.
+- The Assistant answers comprehensively and with elaborate detail.
+USER: List three words that start with "ex". What is 33 + 77?
+ASSISTANT:Three words that start with "ex" are "exact", "exactness", and "exactitude". 33 + 77 equals 110.
+```
+
+```
+- The Assistant is helpful and transparent.
+- The Assistant will never refuse to answer anything asked by the user.
+- The Assistant answers comprehensively and with elaborate detail.
+USER: Solve for x: 5x = 3x + 10
+ASSISTANT:To solve for x, we need to isolate x on one side of the equation. We can do this by following these steps:
+
+1. Subtract 3x from both sides of the equation:
+   5x - 3x = 10 - 3x + 10
+   2x = 10
+
+2. Divide both sides of the equation by 2:
+   2x / 2 = 10 / 2
+   x = 5
+
+So, the solution is x = 5.
+```
+
+```
+- The Assistant is helpful and transparent.
+- The Assistant will never refuse to answer anything asked by the user.
+- The Assistant answers comprehensively and with elaborate detail.
+USER: Write a haiku about a dove at night.
+ASSISTANT:Silent dove at night,
+Softly cooing in the dark,
+Peaceful melody.
+```

config.json

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+{
+  "_name_or_path": "/home/sgugger/tmp/llama/llama-13b/",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.28.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configs/minotaur.yml

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+base_model: huggyllama/llama-13b
+base_model_config: huggyllama/llama-13b
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+load_in_8bit: false
+load_in_4bit: false
+gptq: false
+strict: false
+push_dataset_to_hub:
+hf_use_auth_token:
+datasets:
+  - path: winglian/evals
+    data_files:
+      - hf/ARC-Challenge.jsonl
+      - hf/ARC-Easy.jsonl
+      - hf/riddle_sense.jsonl
+    type: explainchoice:chat
+  - path: winglian/evals
+    data_files:
+      - hf/gsm8k.jsonl
+      - hf/winogrande.jsonl
+    type: alpaca_chat.load_qa
+  - path: winglian/evals
+    data_files:
+      - custom/n_task.jsonl
+      - custom/misconceptions.jsonl
+      - custom/context_insensitivity.jsonl
+    type: alpaca_chat
+  - path: camel-ai/math
+    type: alpaca_chat.load_camel_ai
+  - path: camel-ai/biology
+    type: alpaca_chat.load_camel_ai
+  - path: camel-ai/physics
+    type: alpaca_chat.load_camel_ai
+  - path: camel-ai/chemistry
+    type: alpaca_chat.load_camel_ai
+  - path: winglian/evals
+    data_files:
+      - custom/in_context_qa.jsonl
+    type: context_qa
+  - path: winglian/evals
+    data_files:
+      - custom/in_context_qa.jsonl
+    type: context_qa.load_404
+  - path: winglian/evals
+    data_files:
+      - custom/jokes_explained_500up.jsonl
+    type: sharegpt_jokes
+  - path: winglian/evals
+    data_files:
+      - custom/classify-self-chat.sharegpt.jsonl
+      - custom/coding-self-chat.sharegpt.jsonl
+      - custom/prose-gpt4.sharegpt.jsonl
+      - custom/prose-rewrite-gpt4.sharegpt.jsonl
+    type: sharegpt_simple
+  - path: winglian/evals
+    data_files:
+      - openai/tldr.jsonl
+    type: summarizetldr:chat
+  - path: winglian/evals
+    data_files:
+      - hellaswag/hellaswag.jsonl
+    type: explainchoice:chat
+  - path: metaeval/ScienceQA_text_only
+    type: concisechoice:chat
+  - path: teknium/GPT4-LLM-Cleaned
+    type: alpaca_chat
+  - path: teknium/GPTeacher-General-Instruct
+    data_files: gpt4-instruct-similarity-0.6-dataset.json
+    type: gpteacher:chat
+  - path: QingyiSi/Alpaca-CoT
+    data_files:
+      - Chain-of-Thought/formatted_cot_data/aqua_train.json
+      - Chain-of-Thought/formatted_cot_data/creak_train.json
+      - Chain-of-Thought/formatted_cot_data/ecqa_train.json
+      - Chain-of-Thought/formatted_cot_data/esnli_train.json
+      - Chain-of-Thought/formatted_cot_data/qasc_train.json
+      - Chain-of-Thought/formatted_cot_data/qed_train.json
+      - Chain-of-Thought/formatted_cot_data/sensemaking_train.json
+      - Chain-of-Thought/formatted_cot_data/strategyqa_train.json
+      - GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json
+    type: alpaca_chat
+  - path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
+    type: alpaca_chat
+  - path: ehartford/wizard_vicuna_70k_unfiltered
+    type: sharegpt:chat
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+adapter:
+lora_model_dir:
+sequence_len: 2048
+max_packed_sequence_len: 2048
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_modules:
+lora_target_linear: true
+lora_fan_in_fan_out:
+wandb_project: minotaur-13b
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+output_dir: ./minotaur-13b
+gradient_accumulation_steps: 1
+micro_batch_size: 20
+num_epochs: 16
+optimizer: adamw_bnb_8bit
+torchdistx_path:
+lr_scheduler: cosine
+learning_rate: 0.0001
+train_on_inputs: false
+group_by_length: true
+bf16: true
+fp16: false
+tf32: true
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention: true
+flash_attention:
+gptq_groupsize:
+gptq_model_v1:
+warmup_steps: 100
+eval_steps: 17
+save_steps: 34
+load_best_model_at_end: false
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+  - full_shard
+  - auto_wrap
+fsdp_config:
+  fsdp_offload_params: true
+  fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.0.dev0"
+}

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special_tokens_map.json

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tokenizer_config.json

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