metadata

language:
  - en
  - hi
license: apache-2.0
library_name: transformers
base_model: OEvortex/HelpingAI-Lite
datasets:
  - OEvortex/vortex-mini
pipeline_tag: text-generation
model-index:
  - name: Mia-1B
    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: 35.75
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-1B
          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: 61.02
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-1B
          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: 25.43
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-1B
          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: 36.92
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-1B
          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: 60.38
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-1B
          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: 1.44
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-1B
          name: Open LLM Leaderboard

Model Card

Model Name: Mia-1B

Model Type: Text Generation

Owner: UnfilteredAI

Description: Mia-1B is an advanced text generation model developed by UnfilteredAI. It leverages state-of-the-art AI technologies to generate coherent and contextually relevant text across various domains and topics. The model is aimed at advancing and democratizing artificial intelligence through open source and open science initiatives.

Key Features:

Model Size: Mia-1B comprises 1.1 billion parameters, enabling it to capture complex linguistic patterns and nuances.
Tensor Type: The model utilizes FP16 (Floating Point 16-bit) tensor type for efficient computation, enhancing performance and scalability.
Inference Endpoints: Mia-1B can be easily integrated into applications through inference endpoints, facilitating seamless deployment and usage.
Uncensored Text Generation: Mia-001 generates text without censorship, allowing users to explore a wide range of applications without limitations.
Fine-tuned: Mia-1B is fine-tuned from the OEvortex/HelpingAI-Lite dataset, enhancing its performance and adaptability to various tasks.

Use Cases:

Content Generation: Mia-1B is suitable for generating diverse content including articles, stories, dialogues, and more.
Conversational AI: The model can be deployed in chatbots and conversational agents to engage users in natural and contextually relevant conversations.
AI-driven Applications: Mia-001 enables the development of AI-driven applications in areas such as virtual assistants.
Creative Writing: Writers and artists can leverage Mia-1B to explore new ideas and narrative structures in their creative works.

Ethical Considerations:

Content Moderation: Users are advised to exercise caution and responsibility when utilizing Mia-1B in applications involving sensitive or potentially harmful content.
Bias and Fairness: UnfilteredAI is committed to addressing biases and promoting fairness in AI models. Efforts are made to mitigate biases present in Mia-1B's training data and output.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	36.82
AI2 Reasoning Challenge (25-Shot)	35.75
HellaSwag (10-Shot)	61.02
MMLU (5-Shot)	25.43
TruthfulQA (0-shot)	36.92
Winogrande (5-shot)	60.38
GSM8k (5-shot)	1.44