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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Qwen/Qwen2.5-7B-Instruct-1M
- bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
model-index:
- name: Qwen2.5-7B-RRP-1M
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 74.81
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-RRP-1M
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 35.65
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-RRP-1M
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 28.17
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-RRP-1M
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 7.05
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-RRP-1M
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 15.8
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-RRP-1M
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 36.29
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-RRP-1M
name: Open LLM Leaderboard
---
LoRA trained on a thinking/reasoning and roleplaying dataset and then merged with the Qwen2.5-7B-Instruct-1M model, which supports up to 1 million token context lengths.
## What this Model Can Do:
- Roleplay: Engage in creative conversations and storytelling!
- Reasoning: Tackle problems and answer your questions in a logical way (thanks to the LoRA layer).
- Thinking: Use the ```<think>``` tag in your system prompts to activate the model's thinking abilities.
### Merge Method
This model was merged using the Passthrough merge method using [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M) + [bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora](https://huggingface.co/bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora) as a base.
### Models Merged
The following models were included in the merge:
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: Qwen/Qwen2.5-7B-Instruct-1M+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
dtype: bfloat16
merge_method: passthrough
models:
- model: Qwen/Qwen2.5-7B-Instruct-1M+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
tokenizer_source: Qwen/Qwen2.5-7B-Instruct-1M
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Qwen2.5-7B-RRP-1M-details)
| Metric |Value|
|-------------------|----:|
|Avg. |32.96|
|IFEval (0-Shot) |74.81|
|BBH (3-Shot) |35.65|
|MATH Lvl 5 (4-Shot)|28.17|
|GPQA (0-shot) | 7.05|
|MuSR (0-shot) |15.80|
|MMLU-PRO (5-shot) |36.29|
|