README.md

---
license: mit
datasets:
- Open-Orca/OpenOrca
- ise-uiuc/Magicoder-Evol-Instruct-110K
- tatsu-lab/alpaca
- garage-bAInd/Open-Platypus
model-index:
- name: AIRIC-The-Mistral
  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: 59.98
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
      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: 82.98
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
      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: 60.67
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
      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: 48.24
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
      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: 76.95
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
      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: 30.86
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
      name: Open LLM Leaderboard
---

This is Mistral-v0.1 and a combination of the AIRIC dataset sprinkled into the other datasets listed. Trained for 3 epochs at rank 128 until loss hit about 1.37. I noticed some "it's important to remembers" in there that I may try to scrub out but otherwise the model wasn't intentionally censored.

The intent was to create a robot that I could converse with as well as use as an assistant. If you ask it what it's up to, it'll make something up as if it actually had a life with the right parameters. Before releasing it, I mixed in a lot of OpenOrca data vs what I put out as a chatbot originally to make it more genuinely useful. Set the top_p to .98 to get the most social results. 

This was the original post: https://www.reddit.com/r/LocalLLaMA/comments/154to1w/i_trained_the_65b_model_on_my_texts_so_i_can_talk/

This is how I did the data extraction: https://www.linkedin.com/pulse/how-i-trained-ai-my-text-messages-make-robot-talks-like-eric-polewski-9nu1c/

This is an instruct model trained in the Alpaca format.

5-bit exl2 available at https://huggingface.co./ericpolewski/AIRIC-The-Mistral-5.0bpw-exl2

8-bit exl2 available at https://huggingface.co./ericpolewski/AIRIC-The-Mistral-8.0bpw-exl2

# [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_ericpolewski__AIRIC-The-Mistral)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |59.95|
|AI2 Reasoning Challenge (25-Shot)|59.98|
|HellaSwag (10-Shot)              |82.98|
|MMLU (5-Shot)                    |60.67|
|TruthfulQA (0-shot)              |48.24|
|Winogrande (5-shot)              |76.95|
|GSM8k (5-shot)                   |30.86|