Create README.md

README.md

@@ -0,0 +1,428 @@
+---
+language:
+- en
+license: other
+tags:
+- axolotl
+- generated_from_trainer
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- science
+- physics
+- chemistry
+- biology
+- math
+- llama
+- llama3
+base_model: Weyaxi/Einstein-v6.1-Llama3-8B
+datasets:
+- allenai/ai2_arc
+- camel-ai/physics
+- camel-ai/chemistry
+- camel-ai/biology
+- camel-ai/math
+- metaeval/reclor
+- openbookqa
+- mandyyyyii/scibench
+- derek-thomas/ScienceQA
+- TIGER-Lab/ScienceEval
+- jondurbin/airoboros-3.2
+- LDJnr/Capybara
+- Cot-Alpaca-GPT4-From-OpenHermes-2.5
+- STEM-AI-mtl/Electrical-engineering
+- knowrohit07/saraswati-stem
+- sablo/oasst2_curated
+- lmsys/lmsys-chat-1m
+- TIGER-Lab/MathInstruct
+- bigbio/med_qa
+- meta-math/MetaMathQA-40K
+- openbookqa
+- piqa
+- metaeval/reclor
+- derek-thomas/ScienceQA
+- scibench
+- sciq
+- Open-Orca/SlimOrca
+- migtissera/Synthia-v1.3
+- TIGER-Lab/ScienceEval
+- allenai/WildChat
+- microsoft/orca-math-word-problems-200k
+- openchat/openchat_sharegpt4_dataset
+- teknium/GPTeacher-General-Instruct
+- m-a-p/CodeFeedback-Filtered-Instruction
+- totally-not-an-llm/EverythingLM-data-V3
+- HuggingFaceH4/no_robots
+- OpenAssistant/oasst_top1_2023-08-25
+- WizardLM/WizardLM_evol_instruct_70k
+model-index:
+- name: Einstein-v6.1-Llama3-8B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 62.46
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 82.41
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 66.19
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 55.1
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 79.32
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 66.11
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
+      name: Open LLM Leaderboard
+pipeline_tag: text-generation
+---
+
+# 🔬 Einstein-v6.1-Llama3-8B - GGUF
+
+- This is quantized version of [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) created using llama.cpp
+
+# Model Description
+
+This model is a full fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on diverse datasets.
+
+This model is finetuned using `8xRTX3090` + `1xRTXA6000` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
+
+This model's training was sponsored by [sablo.ai](https://sablo.ai). 
+
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: meta-llama/Meta-Llama-3-8B
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: chatml
+datasets:
+  - path: data/merged_all.json
+    ds_type: json
+    type: alpaca
+    conversation: chatml
+
+  - path: data/gpteacher-instruct-special-alpaca.json
+    ds_type: json
+    type: gpteacher
+    conversation: chatml
+
+  - path: data/wizardlm_evol_instruct_70k_random_half.json
+    ds_type: json
+    type: alpaca
+    conversation: chatml
+
+  - path: data/capybara_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+  - path: data/synthia-v1.3_sharegpt_12500.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml  
+
+  - path: data/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+  - path: data/slimorca_dedup_filtered_95k_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml  
+
+  - path: data/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml  
+
+  - path: data/allenai_wild_chat_gpt4_english_toxic_random_half_4k_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    strict: false
+    conversation: chatml  
+
+  - path: data/pippa_bagel_repo_3k_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml  
+
+  - path: data/gpt4_data_lmys_1m_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml  
+
+  - path: data/sharegpt_gpt4_english.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+  - path: data/no_robots_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    strict: false
+    conversation: chatml
+
+  - path: data/oasst_top1_from_fusechatmixture_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    strict: false
+    conversation: chatml
+
+  - path: data/everythinglm-data-v3_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    strict: false
+    conversation: chatml
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.002
+
+output_dir: ./Einstein-v6.1-Llama3-8B-model
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project: Einstein
+wandb_entity:
+wandb_watch:
+wandb_name: Einstein-v6.1-Llama3-2-epoch
+wandb_log_model:
+hub_model_id: Weyaxi/Einstein-v6.1-Llama3-8B
+
+save_safetensors: true
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit # look
+lr_scheduler: cosine
+learning_rate: 0.000005 # look
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 2
+eval_table_size:
+eval_table_max_new_tokens: 128
+saves_per_epoch: 2
+debug:
+
+deepspeed: zero3_bf16_cpuoffload_params.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "<|im_end|>"
+  unk_token: "<unk>"
+  pad_token: <|end_of_text|> # changed
+tokens:
+  - "<|im_start|>"
+```
+</details><br>
+
+# 💬 Prompt Template
+
+You can use ChatML prompt template while using the model:
+
+### ChatML
+
+```
+<|im_start|>system
+{system}<|im_end|>
+<|im_start|>user
+{user}<|im_end|>
+<|im_start|>assistant
+{asistant}<|im_end|>
+```
+
+This prompt template is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating), which means you can format messages using the
+`tokenizer.apply_chat_template()` method:
+
+```python
+messages = [
+    {"role": "system", "content": "You are helpful AI asistant."},
+    {"role": "user", "content": "Hello!"}
+]
+gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
+model.generate(**gen_input)
+```
+
+# 📊 Datasets used in this model
+
+The datasets used to train this model are listed in the metadata section of the model card.
+
+Please note that certain datasets mentioned in the metadata may have undergone filtering based on various criteria.
+
+The results of this filtering process and its outcomes are in the data folder of this repository:
+
+[Weyaxi/Einstein-v6.1-Llama3-8B/data](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B/tree/main/data)
+
+# 🔄 Quantizationed versions
+
+## GGUF [@bartowski](https://huggingface.co/bartowski)
+
+- https://huggingface.co/bartowski/Einstein-v6.1-Llama3-8B-GGUF
+
+## ExLlamaV2 [@bartowski](https://huggingface.co/bartowski)
+
+- https://huggingface.co/bartowski/Einstein-v6.1-Llama3-8B-exl2
+
+## AWQ [@solidrust](https://huggingface.co/solidrust)
+
+- https://huggingface.co/solidrust/Einstein-v6.1-Llama3-8B-AWQ
+
+# 🎯 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v6.1-Llama3-8B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |68.60|
+|AI2 Reasoning Challenge (25-Shot)|62.46|
+|HellaSwag (10-Shot)              |82.41|
+|MMLU (5-Shot)                    |66.19|
+|TruthfulQA (0-shot)              |55.10|
+|Winogrande (5-shot)              |79.32|
+|GSM8k (5-shot)                   |66.11|
+
+# 🤖 Additional information about training
+
+This model is full fine-tuned for 2 epoch. 
+
+Total number of steps was 2026.
+
+<details><summary>Loss graph</summary>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/Ycs7ZpoqmxFt0u9rybCO1.png)
+
+</details><br>
+
+# 🤝 Acknowledgments
+
+Thanks to [sablo.ai](https://sablo.ai) for sponsoring this model.
+
+Thanks to all the dataset authors mentioned in the datasets section.
+
+Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model.
+
+Thanks to all open source AI community.
+
+[<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)
+
+If you would like to support me:
+
+[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)