finetuned pipeline_tag: text-generation model-index:
name: TinyLlama-1.1B-2.5T-chat-and-function-calling 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: 34.39 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling 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: 59.61 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling 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: 26.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling 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: 38.92 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling 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: 61.96 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling 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: 1.74 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling name: Open LLM Leaderboard

TinyLlama-1.1B-2.5T-chat-and-function-calling

It was created by starting with the TinyLlama-1.1B-2.5T-chat-and-function-calling and training it on the open assistant dataset then training yhat on function calling. We have attached the wandb report in pdf form to view the training run at a glance.

Reson

This model was fine tuned to allow it to work with the openai syntask and will return function when apperate.

Templete

Us the following templete when interacting with the fine tuned model.

Referrals

Run Pod - This is who I use to train th emodels on huggingface. If you use it we both get free crdits. - Visit Runpod's Website!

Paypal - If you want to leave a tip, it is appecaheted. - Visit My Paypal!

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	37.16
AI2 Reasoning Challenge (25-Shot)	34.39
HellaSwag (10-Shot)	59.61
MMLU (5-Shot)	26.32
TruthfulQA (0-shot)	38.92
Winogrande (5-shot)	61.96
GSM8k (5-shot)	1.74

RichardErkhov/AIGym_-_TinyLlama-1.1B-2.5T-chat-and-function-calling-8bits

Original model description:

TinyLlama-1.1B-2.5T-chat-and-function-calling

Reson

Templete

Referrals

Open LLM Leaderboard Evaluation Results

RichardErkhov/
AIGym_-_TinyLlama-1.1B-2.5T-chat-and-function-calling-8bits