README.md

---
language:
- en
license: cc-by-nc-sa-4.0
tags:
- finetuned
pipeline_tag: text-generation
model-index:
- name: zoyllm-7b-slimorca
  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: 50.6
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tlphams/zoyllm-7b-slimorca
      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: 72.12
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tlphams/zoyllm-7b-slimorca
      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: 48.78
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tlphams/zoyllm-7b-slimorca
      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: 49.13
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tlphams/zoyllm-7b-slimorca
      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: 67.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tlphams/zoyllm-7b-slimorca
      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: 20.7
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tlphams/zoyllm-7b-slimorca
      name: Open LLM Leaderboard
---

# Model Card for ZoyLLM-7B-SlimOrca

The ZoyLLM-7B-SlimOrca Large Language Model (LLM) is a LoRA-finetuned generative text model with Mistral-7B-v0.1 is the base model. 
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.

## 1. Model Architecture

ZoyLLM-7B-SlimOrca is a transformer model, with the following architecture choices:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer

## 2. Datasets
- Self-introduction (20 samples)
- SlimOrca (100k samples random sampled)
- EverythingLM v3

## 3. Template
We finetuned the model using a chatml template
```
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

```
## 4. Test examples
### 4.1. Self-introduction
```
<|im_start|>system
You are a large language model named ZoyLLM.<|im_end|>
<|im_start|>user
Who are you?<|im_end|>
<|im_start|>assistant
I am ZoyLLM, an AI created by Pham Tung Lam and Nguyen Duc Nhan to be helpful, friendly and to understand humans better.<|im_end|>
```

## 4.2. RAG testbench sample
```
<|im_start|>system
You are a large language model named ZoyLLM.<|im_end|>
<|im_start|>user
Stocks rallied Friday even after the release of stronger-than-expected U.S. jobs data and a major increase in Treasury yields.  The Dow Jones Industrial Average gained 195.12 points, or 0.76%, to close at 31,419.58. The S&P 500 added 1.59% at 4,008.50. The tech-heavy Nasdaq Composite rose 1.35%, closing at 12,299.68. The U.S. economy added 438,000 jobs in August, the Labor Department said. Economists polled by Dow Jones expected 273,000 jobs. However, wages rose less than expected last month.  Stocks posted a stunning turnaround on Friday, after initially falling on the stronger-than-expected jobs report. At its session low, the Dow had fallen as much as 198 points; it surged by more than 500 points at the height of the rally. The Nasdaq and the S&P 500 slid by 0.8% during their lowest points in the day.  Traders were unclear of the reason for the intraday reversal. Some noted it could be the softer wage number in the jobs report that made investors rethink their earlier bearish stance. Others noted the pullback in yields from the day’s highs. Part of the rally may just be to do a market that had gotten extremely oversold with the S&P 500 at one point this week down more than 9% from its high earlier this year.  Yields initially surged after the report, with the 10-year Treasury rate trading near its highest level in 14 years. The benchmark rate later eased from those levels, but was still up around 6 basis points at 4.58%.  'We’re seeing a little bit of a give back in yields from where we were around 4.8%. [With] them pulling back a bit, I think that’s helping the stock market,' said Margaret Jones, chief investment officer at Vibrant Industries Capital Advisors. 'We’ve had a lot of weakness in the market in recent weeks, and potentially some oversold conditions.'
Based on above information, answer this question as short as possible: What was the percentage in increase in the Nasdaq at closing?<|im_end|>
<|im_start|>assistant
The Nasdaq Composite rose 1.35% at closing.<|im_end|>
```

## 5. Troubleshooting

- If you see the following error:
```
KeyError: 'mistral'
```
- Or:
```
NotImplementedError: Cannot copy out of meta tensor; no data!
```

Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.

## 6. The Zoy AI Team
 
Pham Tung Lam, Nguyen Duc Nhan.
# [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_tlphams__zoyllm-7b-slimorca)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |51.44|
|AI2 Reasoning Challenge (25-Shot)|50.60|
|HellaSwag (10-Shot)              |72.12|
|MMLU (5-Shot)                    |48.78|
|TruthfulQA (0-shot)              |49.13|
|Winogrande (5-shot)              |67.32|
|GSM8k (5-shot)                   |20.70|