README.md

Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


StrangeMerges_8-7B-slerp - GGUF
- Model creator: https://huggingface.co/Gille/
- Original model: https://huggingface.co/Gille/StrangeMerges_8-7B-slerp/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [StrangeMerges_8-7B-slerp.Q2_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q2_K.gguf) | Q2_K | 2.53GB |
| [StrangeMerges_8-7B-slerp.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [StrangeMerges_8-7B-slerp.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [StrangeMerges_8-7B-slerp.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [StrangeMerges_8-7B-slerp.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [StrangeMerges_8-7B-slerp.Q3_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q3_K.gguf) | Q3_K | 3.28GB |
| [StrangeMerges_8-7B-slerp.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [StrangeMerges_8-7B-slerp.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [StrangeMerges_8-7B-slerp.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [StrangeMerges_8-7B-slerp.Q4_0.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q4_0.gguf) | Q4_0 | 3.83GB |
| [StrangeMerges_8-7B-slerp.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [StrangeMerges_8-7B-slerp.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [StrangeMerges_8-7B-slerp.Q4_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q4_K.gguf) | Q4_K | 4.07GB |
| [StrangeMerges_8-7B-slerp.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [StrangeMerges_8-7B-slerp.Q4_1.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q4_1.gguf) | Q4_1 | 4.24GB |
| [StrangeMerges_8-7B-slerp.Q5_0.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q5_0.gguf) | Q5_0 | 4.65GB |
| [StrangeMerges_8-7B-slerp.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [StrangeMerges_8-7B-slerp.Q5_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q5_K.gguf) | Q5_K | 4.78GB |
| [StrangeMerges_8-7B-slerp.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [StrangeMerges_8-7B-slerp.Q5_1.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q5_1.gguf) | Q5_1 | 5.07GB |
| [StrangeMerges_8-7B-slerp.Q6_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q6_K.gguf) | Q6_K | 5.53GB |
| [StrangeMerges_8-7B-slerp.Q8_0.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_8-7B-slerp-gguf/blob/main/StrangeMerges_8-7B-slerp.Q8_0.gguf) | Q8_0 | 7.17GB |




Original model description:
---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- Gille/StrangeMerges_7-7B-slerp
- Gille/StrangeMerges_5-7B-ties
base_model:
- Gille/StrangeMerges_7-7B-slerp
- Gille/StrangeMerges_5-7B-ties
model-index:
- name: StrangeMerges_8-7B-slerp
  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: 71.08
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_8-7B-slerp
      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: 87.75
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_8-7B-slerp
      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: 65.26
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_8-7B-slerp
      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: 64.52
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_8-7B-slerp
      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: 84.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_8-7B-slerp
      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: 67.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_8-7B-slerp
      name: Open LLM Leaderboard
---

# StrangeMerges_8-7B-slerp

StrangeMerges_8-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Gille/StrangeMerges_7-7B-slerp](https://huggingface.co/Gille/StrangeMerges_7-7B-slerp)
* [Gille/StrangeMerges_5-7B-ties](https://huggingface.co/Gille/StrangeMerges_5-7B-ties)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: Gille/StrangeMerges_7-7B-slerp
        layer_range: [0, 32]
      - model: Gille/StrangeMerges_5-7B-ties
        layer_range: [0, 32]
merge_method: slerp
base_model: Gille/StrangeMerges_7-7B-slerp
parameters:
  t:
    - filter: self_attn
      value: [0.9, 0.5, 0.3, 0.7, 0.1]
    - filter: mlp
      value: [0.1, 0.5, 0.7, 0.3, 0.9]
    - value: 0.5
dtype: bfloat16


```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Gille/StrangeMerges_8-7B-slerp"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```
# [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_Gille__StrangeMerges_8-7B-slerp)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.39|
|AI2 Reasoning Challenge (25-Shot)|71.08|
|HellaSwag (10-Shot)              |87.75|
|MMLU (5-Shot)                    |65.26|
|TruthfulQA (0-shot)              |64.52|
|Winogrande (5-shot)              |84.45|
|GSM8k (5-shot)                   |67.25|