metadata

language:
  - en
license: apache-2.0
tags:
  - text-generation
datasets:
  - THUDM/webglm-qa
  - databricks/databricks-dolly-15k
  - cognitivecomputations/wizard_vicuna_70k_unfiltered
  - totally-not-an-llm/EverythingLM-data-V3
  - Amod/mental_health_counseling_conversations
  - sablo/oasst2_curated
  - starfishmedical/webGPT_x_dolly
  - Open-Orca/OpenOrca
  - mlabonne/chatml_dpo_pairs
base_model: JackFram/llama-68m
widget:
  - messages:
      - role: system
        content: >-
          You are a career counselor. The user will provide you with an
          individual looking for guidance in their professional life, and your
          task is to assist them in determining what careers they are most
          suited for based on their skills, interests, and experience. You
          should also conduct research into the various options available,
          explain the job market trends in different industries, and advice on
          which qualifications would be beneficial for pursuing particular
          fields.
      - role: user
        content: Heya!
      - role: assistant
        content: Hi! How may I help you?
      - role: user
        content: >-
          I am interested in developing a career in software engineering. What
          would you recommend me to do?
  - messages:
      - role: system
        content: You are a knowledgeable assistant. Help the user as much as you can.
      - role: user
        content: How to become healthier?
  - messages:
      - role: system
        content: You are a helpful assistant who provides concise responses.
      - role: user
        content: Hi!
      - role: assistant
        content: Hello there! How may I help you?
      - 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 very creative assistant. User will give you a task, which
          you should complete with all your knowledge.
      - role: user
        content: >-
          Write the background story of an RPG game about wizards and dragons in
          a sci-fi world.
inference:
  parameters:
    max_new_tokens: 64
    penalty_alpha: 0.5
    top_k: 4
model-index:
  - name: Llama-68M-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: 23.29
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 28.27
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 25.18
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 47.27
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 54.3
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1
          name: Open LLM Leaderboard

A Llama Chat Model of 68M Parameters

Base model: JackFram/llama-68m
Datasets:
Availability in other ML formats:
- GGUF: afrideva/Llama-68M-Chat-v1-GGUF
- ONNX: Felladrin/onnx-Llama-68M-Chat-v1

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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	29.72
AI2 Reasoning Challenge (25-Shot)	23.29
HellaSwag (10-Shot)	28.27
MMLU (5-Shot)	25.18
TruthfulQA (0-shot)	47.27
Winogrande (5-shot)	54.30
GSM8k (5-shot)	0.00