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---
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|
|