---
language:
- en
- es
- ca
license: apache-2.0
tags:
- FLOR
- bloom
- spanish
- catalan
- english
datasets:
- teknium/OpenHermes-2.5
pipeline_tag: text-generation
model-index:
- name: OpenHermes-2.5-FLOR-6.3B
  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: 33.45
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xaviviro/OpenHermes-2.5-FLOR-6.3B
      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: 54.53
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xaviviro/OpenHermes-2.5-FLOR-6.3B
      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=xaviviro/OpenHermes-2.5-FLOR-6.3B
      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: 46.12
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xaviviro/OpenHermes-2.5-FLOR-6.3B
      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: 62.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xaviviro/OpenHermes-2.5-FLOR-6.3B
      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=xaviviro/OpenHermes-2.5-FLOR-6.3B
      name: Open LLM Leaderboard
---

# OpenHermes-2.5-FLOR-6.3B 

OpenHermes-2.5-FLOR-6.3B És el resultat de finetunejar el model [FLOR-6.3B](/projecte-aina/FLOR-6.3B) amb el fantàstic dataset [OpenHermes v2.5](/datasets/teknium/OpenHermes-2.5).

La millor manera d'usar **OpenHermes-2.5-FLOR-6.3B** és amb el format **ChatML**

## Quantitzats

Podeu trobar el model quantitzat i en format GGUF a [OpenHermes-2.5-FLOR-6.3B-GGUF](xaviviro/OpenHermes-2.5-FLOR-6.3B-GGUF)
# [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_xaviviro__OpenHermes-2.5-FLOR-6.3B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |37.04|
|AI2 Reasoning Challenge (25-Shot)|33.45|
|HellaSwag (10-Shot)              |54.53|
|MMLU (5-Shot)                    |25.18|
|TruthfulQA (0-shot)              |46.12|
|Winogrande (5-shot)              |62.98|
|GSM8k (5-shot)                   | 0.00|