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---
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|
|