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metadata
language:
  - en
license: apache-2.0
tags:
  - text-generation
base_model: BEE-spoke-data/smol_llama-101M-GQA
datasets:
  - Open-Orca/SlimOrca-Dedup
  - VMware/open-instruct
  - LDJnr/Capybara
  - cognitivecomputations/ultrachat-uncensored
  - starfishmedical/webGPT_x_dolly
  - THUDM/webglm-qa
widget:
  - messages:
      - role: system
        content: You are a helpful assistant who gives creative responses.
      - role: user
        content: >-
          Write the background story of a game about wizards and llamas in a
          sci-fi world.
  - messages:
      - role: system
        content: A friendly chat between a user and an assistant.
      - role: user
        content: Got a question for you!
      - role: assistant
        content: Sure! What's it?
      - role: user
        content: >-
          I need to build a simple website. Where should I start learning about
          web development?
  - messages:
      - role: system
        content: >-
          You are a helpful assistant who provides concise answers to the user's
          questions.
      - role: user
        content: How to become more healthy?
  - messages:
      - role: system
        content: You are a helpful assistant, who always answers with empathy.
      - role: user
        content: List the pros and cons of social media.
  - messages:
      - role: system
        content: You are a helpful assistant, who always answers with empathy.
      - role: user
        content: Hello!
      - role: assistant
        content: Hi! How can I help you today?
      - role: user
        content: >-
          Take a look at the info below.

          - The tape inside the VHS cassettes is very delicate and can be easily
          ruined, making them unplayable and unrepairable. The reason the tape
          deteriorates is that the magnetic charge needed for them to work is
          not permanent, and the magnetic particles end up losing their charge
          in a process known as remanence decay. These particles could also
          become demagnetised via being stored too close to a magnetic source.

          - One of the most significant issues with VHS tapes is that they have
          moving parts, meaning that there are more occasions when something can
          go wrong, damaging your footage or preventing it from playing back.
          The tape itself is a prominent cause of this, and tape slippage can
          occur. Tapes slippage can be caused when the tape loses its tension,
          or it has become warped. These problems can occur in storage due to
          high temperatures or frequent changes in humidity.

          - VHS tapes deteriorate over time from infrequent or overuse. Neglect
          means mold and dirt, while overuse can lead to scratches and technical
          difficulties. This is why old VHS tapes inevitably experience
          malfunctions after a long period of time. Usually anywhere between 10
          to 25+ years.

          - Some VHS tapes like newer mini DVs and Digital 8 tapes can suffer
          from digital corruption, meaning that the footage becomes lost and
          cannot be recovered. These tapes were the steppingstone from VHS to
          the digital age when capturing footage straight to digital became the
          norm. Unfortunately,they are susceptible to digital corruption, which
          causes video pixilation and/or loss of audio.
      - role: assistant
        content: Alright!
      - role: user
        content: >-
          Now I'm going to write my question, and if the info above is useful,
          you can use them in your response.

          Ready?
      - role: assistant
        content: Ready for your question!
      - role: user
        content: Why do VHS tapes deteriorate over time?
inference:
  parameters:
    max_new_tokens: 250
    penalty_alpha: 0.5
    top_k: 4
    repetition_penalty: 1.105
model-index:
  - name: Smol-Llama-101M-Chat-v1
    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: 22.87
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
          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: 28.69
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
          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: 24.93
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
          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: 45.76
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
          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: 50.04
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
          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: 0.08
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
          name: Open LLM Leaderboard

A Llama Chat Model of 101M Parameters

Recommended Prompt Format

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant

Recommended Inference Parameters

penalty_alpha: 0.5
top_k: 4
repetition_penalty: 1.105

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 28.73
AI2 Reasoning Challenge (25-Shot) 22.87
HellaSwag (10-Shot) 28.69
MMLU (5-Shot) 24.93
TruthfulQA (0-shot) 45.76
Winogrande (5-shot) 50.04
GSM8k (5-shot) 0.08