README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
- mpasila/Llama-3.1-Literotica-LoRA-8B
model-index:
- name: DSR1-Distill-Llama-Lit-8B
  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: 18.85
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Llama-Lit-8B
      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: 19.23
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Llama-Lit-8B
      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: 35.2
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Llama-Lit-8B
      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=Triangle104/DSR1-Distill-Llama-Lit-8B
      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: 6.72
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Llama-Lit-8B
      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: 19.97
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Llama-Lit-8B
      name: Open LLM Leaderboard
---
# Merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

### Merge Method

This model was merged using the Passthrough merge method using [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) + [mpasila/Llama-3.1-Literotica-LoRA-8B](https://huggingface.co/mpasila/Llama-3.1-Literotica-LoRA-8B) 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: deepseek-ai/DeepSeek-R1-Distill-Llama-8B+mpasila/Llama-3.1-Literotica-LoRA-8B
dtype: bfloat16
merge_method: passthrough
models:
  - model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B+mpasila/Llama-3.1-Literotica-LoRA-8B
tokenizer_source: deepseek-ai/DeepSeek-R1-Distill-Llama-8B

```
# [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/Triangle104__DSR1-Distill-Llama-Lit-8B-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |17.84|
|IFEval (0-Shot)    |18.85|
|BBH (3-Shot)       |19.23|
|MATH Lvl 5 (4-Shot)|35.20|
|GPQA (0-shot)      | 7.05|
|MuSR (0-shot)      | 6.72|
|MMLU-PRO (5-shot)  |19.97|