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Model: Weyaxi/Einstein-v7-Qwen2-7B Source: Original Platform
2026-06-07 12:08:13 +08:00
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+---
+language:
+- en
+license: other
+tags:
+- axolotl
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- science
+- physics
+- chemistry
+- biology
+- math
+- qwen
+- qwen2
+base_model: Qwen/Qwen2-7B
+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
+- abacusai/SystemChat-1.1
+- H-D-T/Buzz-V1.2
+model-index:
+- name: Einstein-v7-Qwen2-7B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 41.0
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v7-Qwen2-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 32.84
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v7-Qwen2-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 15.18
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v7-Qwen2-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 6.6
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v7-Qwen2-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 14.06
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v7-Qwen2-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 34.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v7-Qwen2-7B
+      name: Open LLM Leaderboard
+---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/KLQP1jK-DIzpwHzYRIH-Q.png)
+
+# 🔬 Einstein-v7-Qwen2-7B
+
+This model is a full fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on diverse datasets.
+
+This model is finetuned using `8xMI300X` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
+
+This model has been trained using compute resources from [TensorWave](https://tensorwave.com/).
+
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: Qwen/Qwen2-7B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: chatml
+datasets:
+  - 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/buzz_unstacked_chosen_math_removed_filtered.json
+    ds_type: json
+    type: alpaca
+    conversation: chatml
+
+  - path: data/capybara_sharegpt.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/everythinglm-data-v3_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    strict: false
+    conversation: chatml
+
+  - path: data/gpt4_data_lmys_1m_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+  - path: data/gpteacher-instruct-special-alpaca.json
+    ds_type: json
+    type: gpteacher
+    conversation: chatml
+
+  - path: data/merged_all.json
+    ds_type: json
+    type: alpaca
+    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/pippa_bagel_repo_3k_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+  - path: data/rpguild_quarter_alignment_lab_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+
+  - path: data/sharegpt_gpt4_english.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/soda_diaolog_longest_tenth_buzz_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/system_conversations_dolphin_sharegpt.json
+    ds_type: json
+    type: sharegpt
+    conversation: chatml
+  
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.002
+
+output_dir: ./Einstein-v7-Qwen2-7B-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:
+wandb_log_model:
+hub_model_id: Weyaxi/Einstein-v7-Qwen2-7B
+
+gradient_accumulation_steps: 4
+micro_batch_size: 6
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001 # look
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+gradient_checkpointing_kwargs:
+   use_reentrant: true # look
+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_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.05
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+  pad_token: "<|end_of_text|>"
+tokens:
+  - "<|im_start|>"
+  - "<|im_end|>"
+```
+
+</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 a diffrent repository:
+
+[Weyaxi/sci-datasets/main](https://huggingface.co/datasets/Weyaxi/sci-datasets/tree/main)
+
+# 🔄 Quantizationed versions
+
+## GGUF [@bartowski](https://huggingface.co/bartowski)
+
+- https://huggingface.co/bartowski/Einstein-v7-Qwen2-7B-GGUF
+
+## ExLlamaV2 [@bartowski](https://huggingface.co/bartowski)
+
+- https://huggingface.co/bartowski/Einstein-v7-Qwen2-7B-exl2
+
+# 🎯 [Open LLM Leaderboard v2 Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v7-Qwen2-7B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |24.01|
+|IFEval (0-Shot)    |41.00|
+|BBH (3-Shot)       |32.84|
+|MATH Lvl 5 (4-Shot)|15.18|
+|GPQA (0-shot)      | 6.60|
+|MuSR (0-shot)      |14.06|
+|MMLU-PRO (5-shot)  |34.40|
+
+# 📚 Some resources, discussions and reviews aboout this model
+
+#### 🐦 Announcement tweet: 
+
+- https://twitter.com/Weyaxi/status/1809644014515154961
+
+#### 🔍 Reddit post in r/LocalLLaMA:
+
+- https://www.reddit.com/r/LocalLLaMA/comments/1dy6o4l/introducing_einstein_v7_based_on_the_qwen2_7b/
+  
+# 🤖 Additional information about training
+
+This model is full fine-tuned for 2 epoch. 
+
+Total number of steps was 500.
+
+<details><summary>Loss graph</summary>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/bkJGgh_JUfKeRlTLo_ZcB.png)
+
+</details><br>
+
+# 🤝 Acknowledgments
+
+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)