---
license: other
datasets:
- DrNicefellow/CHAT-ALL-IN-ONE-v1
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
model-index:
- name: ChatAllInOne-Yi-34B-200K-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: 65.96
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DrNicefellow/ChatAllInOne-Yi-34B-200K-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: 84.53
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DrNicefellow/ChatAllInOne-Yi-34B-200K-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: 74.13
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DrNicefellow/ChatAllInOne-Yi-34B-200K-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: 56.96
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DrNicefellow/ChatAllInOne-Yi-34B-200K-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: 82.72
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DrNicefellow/ChatAllInOne-Yi-34B-200K-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: 59.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DrNicefellow/ChatAllInOne-Yi-34B-200K-V1
      name: Open LLM Leaderboard
---
# ChatAllInOne-Yi-34B-200K-V1

## Description
ChatAllInOne-Yi-34B-200K-V1 is a chat language model fine-tuned on the CHAT-ALL-IN-ONE-v1 dataset using the QLoRA technique with the unsloth tool. Originally based on the 01-ai/Yi-34B-200K model, this version is specifically optimized for diverse and comprehensive chat applications.

## Model Details
- **Base Model**: [01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K)
- **Fine-tuning Technique**: QLoRA (Quantum Logic-based Reasoning Approach)
- **Dataset**: [CHAT-ALL-IN-ONE-v1](https://huggingface.co/datasets/DrNicefellow/CHAT-ALL-IN-ONE-v1)
- **Tool Used for Fine-tuning**: [unsloth](https://github.com/unslothai/unsloth)

## Features
- Enhanced understanding and generation of conversational language.
- Improved performance in diverse chat scenarios, including casual, formal, and domain-specific conversations.
- Fine-tuned to maintain context and coherence over longer dialogues.

## Prompt Format

Vicuna 1.1

See the finetuning dataset for examples.


## License
This model is open-sourced under the [Yi License](https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE).


## Feeling Generous? 😊
Eager to buy me a cup of 2$ coffe or iced tea?🍵☕ Sure, here is the link: [https://ko-fi.com/drnicefellow](https://ko-fi.com/drnicefellow). Please add a note on which one you want me to drink?
# [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_DrNicefellow__ChatAllInOne-Yi-34B-200K-V1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.56|
|AI2 Reasoning Challenge (25-Shot)|65.96|
|HellaSwag (10-Shot)              |84.53|
|MMLU (5-Shot)                    |74.13|
|TruthfulQA (0-shot)              |56.96|
|Winogrande (5-shot)              |82.72|
|GSM8k (5-shot)                   |59.06|