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inital commit of things without the model

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README.md ADDED
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+ ---
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+ datasets:
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+ - anon8231489123/ShareGPT_Vicuna_unfiltered
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+ - ehartford/wizard_vicuna_70k_unfiltered
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+ - ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
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+ - QingyiSi/Alpaca-CoT
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+ - teknium/GPT4-LLM-Cleaned
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+ - teknium/GPTeacher-General-Instruct
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+ - metaeval/ScienceQA_text_only
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+ - hellaswag
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+ - tasksource/mmlu
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+ - openai/summarize_from_feedback
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Manticore 13B - Preview Release (previously Wizard Mega)
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+
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+ Manticore 13B is a Llama 13B model fine-tuned on the following datasets:
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+ - [ShareGPT](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) - based on a cleaned and de-suped subset
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+ - [WizardLM](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered)
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+ - [Wizard-Vicuna](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered)
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+ - [subset of QingyiSi/Alpaca-CoT for roleplay and CoT](https://huggingface.co/QingyiSi/Alpaca-CoT)
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+ - [GPT4-LLM-Cleaned](https://huggingface.co/datasets/teknium/GPT4-LLM-Cleaned)
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+ - [GPTeacher-General-Instruct](https://huggingface.co/datasets/teknium/GPTeacher-General-Instruct)
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+ - ARC-Easy & ARC-Challenge - instruct augmented for detailed responses
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+ - mmlu: instruct augmented for detailed responses subset including
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+ - abstract_algebra
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+ - conceptual_physics
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+ - formal_logic
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+ - high_school_physics
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+ - logical_fallacies
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+ - [hellaswag](https://huggingface.co/datasets/hellaswag) - 5K row subset of instruct augmented for concise responses
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+ - [metaeval/ScienceQA_text_only](https://huggingface.co/datasets/metaeval/ScienceQA_text_only) - instruct for concise responses
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+ - [openai/summarize_from_feedback](https://huggingface.co/datasets/openai/summarize_from_feedback) - instruct augmented tl;dr summarization
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+
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+
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+ # Demo
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+
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+ Try out the model in HF Spaces. The demo uses a quantized GGML version of the model to quickly return predictions on smaller GPUs (and even CPUs). Quantized GGML may have some minimal loss of model quality.
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+ - https://huggingface.co/spaces/openaccess-ai-collective/manticore-ggml
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+
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+ ## Release Notes
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+
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+ - https://wandb.ai/wing-lian/manticore-13b/runs/nq3u3uoh/workspace
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+
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+ ## Build
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+
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+ Manticore was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 8xA100 80GB
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+ - Preview Release: 1 epoch taking 8 hours.
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+ - The configuration to duplicate this build is provided in this repo's [/config folder](https://huggingface.co/openaccess-ai-collective/manticore-13b/tree/main/configs).
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+
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+ ## Bias, Risks, and Limitations
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+ Manticore 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).
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+ Manticore was fine-tuned from the base model LlaMa 13B, please refer to its model card's Limitations Section for relevant information.
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+
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+ ## Examples
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+
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+ ````
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+ ### Instruction: write Python code that returns the first n numbers of the Fibonacci sequence using memoization.
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+
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+ ### Assistant:
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+ ````
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+
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+ ```
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+ ### Instruction: Finish the joke, a mechanic and a car salesman walk into a bar...
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+
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+ ### Assistant:
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+ ```
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+
config.json ADDED
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+ {
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+ "_name_or_path": "huggyllama/llama-13b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 13824,
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+ "max_position_embeddings": 2048,
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+ "max_sequence_length": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "pad_token_id": 0,
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+ "rms_norm_eps": 1e-06,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.30.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
configs/manticore.yml ADDED
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+ base_model: huggyllama/llama-13b
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+ # base_model: /workspace/manticore-13b/
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+ base_model_config: huggyllama/llama-13b
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ load_in_8bit: false
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+ datasets:
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+ - path: winglian/evals
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+ data_files:
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+ - hf/ARC-Challenge.jsonl
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+ - hf/ARC-Easy.jsonl
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+ - mmlu/abstract_algebra.jsonl
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+ - mmlu/conceptual_physics.jsonl
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+ - mmlu/formal_logic.jsonl
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+ - mmlu/high_school_physics.jsonl
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+ - mmlu/logical_fallacies.jsonl
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+ type: explainchoice
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+ - path: winglian/evals
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+ data_files:
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+ - openai/tldr.jsonl
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+ type: summarizetldr
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+ - path: winglian/evals
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+ data_files:
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+ - hellaswag/hellaswag-concise.jsonl
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+ type: concisechoice
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+ - path: metaeval/ScienceQA_text_only
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+ type: concisechoice
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+ - path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
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+ type: alpaca
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+ - path: ehartford/wizard_vicuna_70k_unfiltered
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+ type: sharegpt
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+ - path: winglian/chatlogs-en-cleaned
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+ data_files:
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+ - sharegpt_cleaned.jsonl
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+ type: sharegpt
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+ - path: teknium/GPT4-LLM-Cleaned
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+ type: alpaca
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+ - path: teknium/GPTeacher-General-Instruct
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+ data_files: gpt4-instruct-similarity-0.6-dataset.json
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+ type: gpteacher
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+ - path: QingyiSi/Alpaca-CoT
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+ data_files:
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+ - Chain-of-Thought/formatted_cot_data/aqua_train.json
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+ - Chain-of-Thought/formatted_cot_data/creak_train.json
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+ - Chain-of-Thought/formatted_cot_data/ecqa_train.json
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+ - Chain-of-Thought/formatted_cot_data/esnli_train.json
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+ - Chain-of-Thought/formatted_cot_data/gsm8k_train.json
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+ - Chain-of-Thought/formatted_cot_data/qasc_train.json
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+ - Chain-of-Thought/formatted_cot_data/qed_train.json
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+ - Chain-of-Thought/formatted_cot_data/sensemaking_train.json
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+ - Chain-of-Thought/formatted_cot_data/strategyqa_train.json
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+ - GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json
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+ type: alpaca
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.02
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+ adapter:
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+ lora_model_dir:
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+ sequence_len: 2048
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+ max_packed_sequence_len: 2048
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+ lora_r:
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+ lora_alpha:
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+ lora_dropout:
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+ lora_target_modules:
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+ lora_fan_in_fan_out:
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+ wandb_project: manticore-13b
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+ wandb_watch:
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+ wandb_run_id:
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+ wandb_log_model:
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+ output_dir: ./manticore-13b
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+ batch_size: 512
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+ micro_batch_size: 8
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+ num_epochs: 4
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+ optimizer:
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+ torchdistx_path:
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+ lr_scheduler:
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+ learning_rate: 0.000032
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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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+ tf32: true
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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: true
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+ flash_attention:
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+ gptq_groupsize:
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+ gptq_model_v1:
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+ warmup_steps: 20
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+ eval_steps: 10
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+ save_steps:
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+ debug:
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+ deepspeed:
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+ weight_decay: 0
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+ fsdp:
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+ - full_shard
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+ - auto_wrap
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+ fsdp_config:
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+ fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
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+ special_tokens:
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+ bos_token: "<s>"
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+ eos_token: "</s>"
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+ unk_token: "<unk>"
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+
generation_config.json ADDED
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.30.0.dev0"
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+ }
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