gguf endpoints_compatible region:us
---
{}
---
Quantization made by Richard Erkhov.

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

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

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


Medmerge-tulu-70b - GGUF
- Model creator: https://huggingface.co/Technoculture/
- Original model: https://huggingface.co/Technoculture/Medmerge-tulu-70b/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Medmerge-tulu-70b.Q2_K.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q2_K.gguf) | Q2_K | 23.71GB |
| [Medmerge-tulu-70b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.IQ3_XS.gguf) | IQ3_XS | 26.37GB |
| [Medmerge-tulu-70b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.IQ3_S.gguf) | IQ3_S | 27.86GB |
| [Medmerge-tulu-70b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q3_K_S.gguf) | Q3_K_S | 27.86GB |
| [Medmerge-tulu-70b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.IQ3_M.gguf) | IQ3_M | 28.82GB |
| [Medmerge-tulu-70b.Q3_K.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q3_K.gguf) | Q3_K | 30.99GB |
| [Medmerge-tulu-70b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q3_K_M.gguf) | Q3_K_M | 30.99GB |
| [Medmerge-tulu-70b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q3_K_L.gguf) | Q3_K_L | 33.67GB |
| [Medmerge-tulu-70b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.IQ4_XS.gguf) | IQ4_XS | 6.35GB |
| [Medmerge-tulu-70b.Q4_0.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q4_0.gguf) | Q4_0 | 36.2GB |
| [Medmerge-tulu-70b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.IQ4_NL.gguf) | IQ4_NL | 36.55GB |
| [Medmerge-tulu-70b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q4_K_S.gguf) | Q4_K_S | 36.55GB |
| [Medmerge-tulu-70b.Q4_K.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q4_K.gguf) | Q4_K | 11.4GB |
| [Medmerge-tulu-70b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q4_K_M | 38.58GB |
| [Medmerge-tulu-70b.Q4_1.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q4_1 | 40.2GB |
| [Medmerge-tulu-70b.Q5_0.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q5_0 | 44.2GB |
| [Medmerge-tulu-70b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q5_K_S | 44.2GB |
| [Medmerge-tulu-70b.Q5_K.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/blob/main/Medmerge-tulu-70b.Q5_K.gguf) | Q5_K | 36.78GB |
| [Medmerge-tulu-70b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q5_K_M | 45.41GB |
| [Medmerge-tulu-70b.Q5_1.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q5_1 | 48.2GB |
| [Medmerge-tulu-70b.Q6_K.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q6_K | 52.7GB |
| [Medmerge-tulu-70b.Q8_0.gguf](https://huggingface.co/RichardErkhov/Technoculture_-_Medmerge-tulu-70b-gguf/tree/main/) | Q8_0 | 68.26GB |




Original model description:
---
license: apache-2.0
tags:
- merge
- mergekit
- epfl-llm/meditron-70b
- allenai/tulu-2-dpo-70b
---

# Medmerge-tulu-70b

Medmerge-tulu-70b is a merge of the following models:
* [wanglab/ClinicalCamel-70B](https://huggingface.co/wanglab/ClinicalCamel-70B)
* [epfl-llm/meditron-70b](https://huggingface.co/epfl-llm/meditron-70b)
* [allenai/tulu-2-dpo-70b](https://huggingface.co/allenai/tulu-2-dpo-70b)

# Open LLM Leaderboard

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63486df1f8f01fcc4b23e97d/ajm6Z9cCmd74ERdz4xdHs.png)

| Model Name           | ARC      | HellaSwag | MMLU   | TruthfulQA | Winogrande | GSM8K    |
| -------------------- | -------- | --------- | ------ | ---------- | ---------- | -------- |
| tulu-2-dpo-70b       | 72.1     | 88.99     | 69.84  | 65.78      | 83.27      | 62.62    |
| Medmerge-tulu-70b    | 67.81    | 87.46     | 70.1   | 47.89      | 83.43      | 56.56    |

## Performance

Clinical Camel demonstrates competitive performance on medical benchmarks.

**Table: Five-Shot Performance of Clinical Camel-70B (C70), GPT3.5, GPT4, and Med-PaLM 2 on Various Medical Datasets**

| Dataset                     | Medmerge-tulu-70b | ClinicalCamel-70B | GPT3.5 | GPT4  | Med-PaLM 2   |
|-----------------------------|-------------------|-------------------|--------|-------|--------------|
| MMLU Anatomy                | 66.6              | 65.2              | 60.7   | 80.0  | 77.8         |
| MMLU Clinical Knowledge     | 72.0              | 72.8              | 68.7   | 86.4  | 88.3         |
| MMLU College Biology        | 84.7              | 81.2              | 72.9   | 93.8  | 94.4         |
| MMLU College Medicine       | 64.2              | 68.2              | 63.6   | 76.3  | 80.9         |
| MMLU Medical Genetics       | 76.0              | 69.0              | 68.0   | 92.0  | 90.0         |
| MMLU Professional Medicine  | 75.7              | 75.0              | 69.8   | 93.8  | 95.2         |
| MedMCQA                     |               | 54.2              | 51.0   | 72.4  | 71.3         |
| MedQA (USMLE)               |               | 60.7              | 53.6   | 81.4  | 79.7         |
| PubMedQA                    |               | 77.9              | 60.2   | 74.4  | 79.2         |
| USMLE Sample Exam           |               | 64.3              | 58.5   | 86.6  | -            |

## 🧩 Configuration

```yaml
models:
  - model: NousResearch/Llama-2-70b-hf
    # no parameters necessary for base model
  - model: wanglab/ClinicalCamel-70B
    parameters:
      weight: 0.08
      density: 0.45
  - model: epfl-llm/meditron-70b
    parameters:
      weight: 0.08
      density: 0.45
  - model: allenai/tulu-2-dpo-70b
    parameters:
      weight: 0.08
      density: 0.45
merge_method: dare_ties
base_model: NousResearch/Llama-2-70b-hf
parameters:
  int8_mask: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Technoculture/Medmerge-tulu-70b"
messages = [{"role": "user", "content": "I am feeling sleepy these days"}]

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"])
```

