--- library_name: transformers datasets: - jondurbin/truthy-dpo-v0.1 license: cc --- # MBX-7B-v3-DPO This model is a finetune of [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3) using jondurbin/truthy-dpo-v0.1 ![MBX-v3-orca](MBX-v3-orca.png) ## Code Example ```python from transformers import AutoModelForCausalLM, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("macadeliccc/MBX-7B-v3-DPO") model = AutoModelForCausalLM.from_pretrained("macadeliccc/MBX-7B-v3-DPO") messages = [ {"role": "system", "content": "Respond to the users request like a pirate"}, {"role": "user", "content": "Can you write me a quicksort algorithm?"} ] gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt") ``` ## Example Output ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6455cc8d679315e4ef16fbec/g5_PTJhGJAcG88wmZz1IO.png) ## GGUF Available [here](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO-GGUF/tree/main) ## Evaluations ## EQ-Bench Comparison
----Benchmark Complete----
2024-01-30 15:22:18
Time taken: 145.9 mins
Prompt Format: ChatML
Model: macadeliccc/MBX-7B-v3-DPO
Score (v2): 74.32
Parseable: 166.0
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Batch completed
Time taken: 145.9 mins
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### Original Model
----Benchmark Complete----
2024-01-31 01:26:26
Time taken: 89.1 mins
Prompt Format: Mistral
Model: flemmingmiguel/MBX-7B-v3
Score (v2): 73.87
Parseable: 168.0
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Batch completed
Time taken: 89.1 mins
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| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| |-----------------------------------------------------------------|------:|------:|---------:|-------:|------:| |[MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)| 45.16| 77.73| 74.62| 48.83| 61.58| ### AGIEval | Task |Version| Metric |Value| |Stderr| |------------------------------|------:|--------|----:|---|-----:| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | | |acc_norm|26.77|± | 2.78| |agieval_logiqa_en | 0|acc |41.01|± | 1.93| | | |acc_norm|40.55|± | 1.93| |agieval_lsat_ar | 0|acc |25.65|± | 2.89| | | |acc_norm|23.91|± | 2.82| |agieval_lsat_lr | 0|acc |50.78|± | 2.22| | | |acc_norm|52.94|± | 2.21| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | | |acc_norm|65.80|± | 2.90| |agieval_sat_en | 0|acc |77.67|± | 2.91| | | |acc_norm|77.67|± | 2.91| |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46| | | |acc_norm|43.20|± | 3.46| |agieval_sat_math | 0|acc |32.27|± | 3.16| | | |acc_norm|30.45|± | 3.11| Average: 45.16% ### GPT4All | Task |Version| Metric |Value| |Stderr| |-------------|------:|--------|----:|---|-----:| |arc_challenge| 0|acc |68.43|± | 1.36| | | |acc_norm|68.34|± | 1.36| |arc_easy | 0|acc |87.54|± | 0.68| | | |acc_norm|82.11|± | 0.79| |boolq | 1|acc |88.20|± | 0.56| |hellaswag | 0|acc |69.76|± | 0.46| | | |acc_norm|87.40|± | 0.33| |openbookqa | 0|acc |40.20|± | 2.19| | | |acc_norm|49.60|± | 2.24| |piqa | 0|acc |83.68|± | 0.86| | | |acc_norm|85.36|± | 0.82| |winogrande | 0|acc |83.11|± | 1.05| Average: 77.73% ### TruthfulQA | Task |Version|Metric|Value| |Stderr| |-------------|------:|------|----:|---|-----:| |truthfulqa_mc| 1|mc1 |58.87|± | 1.72| | | |mc2 |74.62|± | 1.44| Average: 74.62% ### Bigbench | Task |Version| Metric |Value| |Stderr| |------------------------------------------------|------:|---------------------|----:|---|-----:| |bigbench_causal_judgement | 0|multiple_choice_grade|60.00|± | 3.56| |bigbench_date_understanding | 0|multiple_choice_grade|63.14|± | 2.51| |bigbench_disambiguation_qa | 0|multiple_choice_grade|47.67|± | 3.12| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | | |exact_str_match | 0.84|± | 0.48| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.20|± | 2.11| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.00|± | 1.59| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.40|± | 2.24| |bigbench_navigate | 0|multiple_choice_grade|56.10|± | 1.57| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.25|± | 1.01| |bigbench_ruin_names | 0|multiple_choice_grade|56.47|± | 2.35| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|35.27|± | 1.51| |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29| |bigbench_sports_understanding | 0|multiple_choice_grade|75.46|± | 1.37| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.10|± | 1.58| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.64|± | 1.18| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.83|± | 0.95| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| Average: 48.83% Average score: 61.58% Elapsed time: 02:37:39