278 lines
10 KiB
Markdown
278 lines
10 KiB
Markdown
---
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license: cc
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library_name: transformers
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datasets:
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- jondurbin/truthy-dpo-v0.1
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model-index:
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- name: MBX-7B-v3-DPO
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 73.55
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/MBX-7B-v3-DPO
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 89.11
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/MBX-7B-v3-DPO
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.91
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/MBX-7B-v3-DPO
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 74.0
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/MBX-7B-v3-DPO
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 85.56
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/MBX-7B-v3-DPO
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 69.67
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/MBX-7B-v3-DPO
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name: Open LLM Leaderboard
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---
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# MBX-7B-v3-DPO
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This model is a finetune of [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3) using jondurbin/truthy-dpo-v0.1
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## Code Example
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("macadeliccc/MBX-7B-v3-DPO")
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model = AutoModelForCausalLM.from_pretrained("macadeliccc/MBX-7B-v3-DPO")
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messages = [
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{"role": "system", "content": "Respond to the users request like a pirate"},
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{"role": "user", "content": "Can you write me a quicksort algorithm?"}
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]
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gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
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```
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## Example Output
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## GGUF
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Available [here](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO-GGUF/tree/main)
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## Exllamav2
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Quants are available from bartowski, check them out [here](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2)
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Download the size you want below, VRAM figures are estimates.
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
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| [8_0](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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| [6_5](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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| [5_0](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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| [4_25](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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| [3_5](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
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## Evaluations
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## EQ-Bench Comparison
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<pre>----Benchmark Complete----
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2024-01-30 15:22:18
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Time taken: 145.9 mins
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Prompt Format: ChatML
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Model: macadeliccc/MBX-7B-v3-DPO
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Score (v2): 74.32
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Parseable: 166.0
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---------------
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Batch completed
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Time taken: 145.9 mins
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---------------
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</pre>
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### Original Model
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<pre>----Benchmark Complete----
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2024-01-31 01:26:26
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Time taken: 89.1 mins
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Prompt Format: Mistral
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Model: flemmingmiguel/MBX-7B-v3
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Score (v2): 73.87
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Parseable: 168.0
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---------------
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Batch completed
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Time taken: 89.1 mins
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---------------
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</pre>
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| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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|-----------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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|[MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)| 45.16| 77.73| 74.62| 48.83| 61.58|
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### AGIEval
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| Task |Version| Metric |Value| |Stderr|
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|------------------------------|------:|--------|----:|---|-----:|
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|agieval_aqua_rat | 0|acc |27.95|± | 2.82|
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| | |acc_norm|26.77|± | 2.78|
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|agieval_logiqa_en | 0|acc |41.01|± | 1.93|
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| | |acc_norm|40.55|± | 1.93|
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|agieval_lsat_ar | 0|acc |25.65|± | 2.89|
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| | |acc_norm|23.91|± | 2.82|
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|agieval_lsat_lr | 0|acc |50.78|± | 2.22|
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| | |acc_norm|52.94|± | 2.21|
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|agieval_lsat_rc | 0|acc |66.54|± | 2.88|
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| | |acc_norm|65.80|± | 2.90|
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|agieval_sat_en | 0|acc |77.67|± | 2.91|
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| | |acc_norm|77.67|± | 2.91|
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|agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46|
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| | |acc_norm|43.20|± | 3.46|
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|agieval_sat_math | 0|acc |32.27|± | 3.16|
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| | |acc_norm|30.45|± | 3.11|
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Average: 45.16%
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### GPT4All
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| Task |Version| Metric |Value| |Stderr|
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|-------------|------:|--------|----:|---|-----:|
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|arc_challenge| 0|acc |68.43|± | 1.36|
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| | |acc_norm|68.34|± | 1.36|
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|arc_easy | 0|acc |87.54|± | 0.68|
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| | |acc_norm|82.11|± | 0.79|
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|boolq | 1|acc |88.20|± | 0.56|
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|hellaswag | 0|acc |69.76|± | 0.46|
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| | |acc_norm|87.40|± | 0.33|
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|openbookqa | 0|acc |40.20|± | 2.19|
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| | |acc_norm|49.60|± | 2.24|
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|piqa | 0|acc |83.68|± | 0.86|
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| | |acc_norm|85.36|± | 0.82|
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|winogrande | 0|acc |83.11|± | 1.05|
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Average: 77.73%
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### TruthfulQA
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| Task |Version|Metric|Value| |Stderr|
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|-------------|------:|------|----:|---|-----:|
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|truthfulqa_mc| 1|mc1 |58.87|± | 1.72|
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| | |mc2 |74.62|± | 1.44|
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Average: 74.62%
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### Bigbench
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| Task |Version| Metric |Value| |Stderr|
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|------------------------------------------------|------:|---------------------|----:|---|-----:|
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|bigbench_causal_judgement | 0|multiple_choice_grade|60.00|± | 3.56|
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|bigbench_date_understanding | 0|multiple_choice_grade|63.14|± | 2.51|
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|bigbench_disambiguation_qa | 0|multiple_choice_grade|47.67|± | 3.12|
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|bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21|
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| | |exact_str_match | 0.84|± | 0.48|
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|bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.20|± | 2.11|
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|bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.00|± | 1.59|
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|bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84|
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|bigbench_movie_recommendation | 0|multiple_choice_grade|47.40|± | 2.24|
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|bigbench_navigate | 0|multiple_choice_grade|56.10|± | 1.57|
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|bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.25|± | 1.01|
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|bigbench_ruin_names | 0|multiple_choice_grade|56.47|± | 2.35|
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|bigbench_salient_translation_error_detection | 0|multiple_choice_grade|35.27|± | 1.51|
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|bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29|
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|bigbench_sports_understanding | 0|multiple_choice_grade|75.46|± | 1.37|
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|bigbench_temporal_sequences | 0|multiple_choice_grade|52.10|± | 1.58|
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|bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.64|± | 1.18|
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|bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.83|± | 0.95|
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|bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84|
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Average: 48.83%
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Average score: 61.58%
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Elapsed time: 02:37:39
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__MBX-7B-v3-DPO)
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| Metric |Value|
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|Avg. |76.13|
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|AI2 Reasoning Challenge (25-Shot)|73.55|
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|HellaSwag (10-Shot) |89.11|
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|MMLU (5-Shot) |64.91|
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|TruthfulQA (0-shot) |74.00|
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|Winogrande (5-shot) |85.56|
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|GSM8k (5-shot) |69.67|
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