README.md

---
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:
- text: '<|im_start|>system

    You are a knowledgeable assistant. Help the user as much as you can.<|im_end|>

    <|im_start|>user

    How to become healthier?<|im_end|>

    <|im_start|>assistant'
- text: '<|im_start|>system

    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.<|im_end|>

    <|im_start|>user

    Heya!<|im_end|>

    <|im_start|>assistant

    Hi! How may I help you?<|im_end|>

    <|im_start|>user

    I am interested in developing a career in software engineering. What would you
    recommend me to do?<|im_end|>

    <|im_start|>assistant'
- text: '<|im_start|>system

    You are a helpful assistant who provides concise responses.<|im_end|>

    <|im_start|>user

    Hi!<|im_end|>

    <|im_start|>assistant

    Hello there! How may I help you?<|im_end|>

    <|im_start|>user

    I need to build a simple website. Where should I start learning about web development?<|im_end|>

    <|im_start|>assistant'
- text: '<|im_start|>system

    You are a very creative assistant. User will give you a task, which you should
    complete with all your knowledge.<|im_end|>

    <|im_start|>user

    Write the background story of an RPG game about wizards and dragons in a sci-fi
    world.<|im_end|>

    <|im_start|>assistant'
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: 0.0
      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](https://huggingface.co/JackFram/llama-68m)
- Datasets:
  - [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
  - [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
  - [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered)
  - [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3)
  - [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
  - [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated)
  - [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
  - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
  - [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs)
- Availability in other ML formats:
  - GGUF: [afrideva/Llama-68M-Chat-v1-GGUF](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF)
  - ONNX: [Felladrin/onnx-Llama-68M-Chat-v1](https://huggingface.co/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

```yml
penalty_alpha: 0.5
top_k: 4
```

# [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_Felladrin__Llama-68M-Chat-v1)

|             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|