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---
language:
- ru
license: apache-2.0
datasets:
- 0x7194633/fialka-v3-data
pipeline_tag: text-generation
model-index:
- name: fialka-13B-v4
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: 29.69
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0x7194633/fialka-13B-v4
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: 47.37
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0x7194633/fialka-13B-v4
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: 25.09
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0x7194633/fialka-13B-v4
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: 43.65
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0x7194633/fialka-13B-v4
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: 58.88
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0x7194633/fialka-13B-v4
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: 0.38
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0x7194633/fialka-13B-v4
name: Open LLM Leaderboard
---
# Fialka v4.0 13B
## Description
Fialka language models are trained to follow instructions and maintain communication in Russian. The fourth version of Fialka is the third version optimized through RLHF. More responsive and more informative.
## Usage
The model has a query format as in zephyr.
```
<|user|>
Что такое мем?</s>
<|assistant|>
Мем (англ. meme) - это единица социального поведения, которая быстро распространяется в интернете или в социальных сетях с целью передачи информации и идей. Обычно мемы являются шутками, стишками, изображениями или видео и имеют юмористический или сатирический характер, но могут содержать и более серьезные идеи, такие как политические или социальные протесты, и даже угрозы. Мемы могут служить для создания и распространения контента и информации, а также для выражения мнения или чувств автора.
```
# [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_0x7194633__fialka-13B-v4)
| Metric |Value|
|---------------------------------|----:|
|Avg. |34.18|
|AI2 Reasoning Challenge (25-Shot)|29.69|
|HellaSwag (10-Shot) |47.37|
|MMLU (5-Shot) |25.09|
|TruthfulQA (0-shot) |43.65|
|Winogrande (5-shot) |58.88|
|GSM8k (5-shot) | 0.38|
|