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

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

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

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


JSL-MedMNX-7B-v2.0 - GGUF
- Model creator: https://huggingface.co/johnsnowlabs/
- Original model: https://huggingface.co/johnsnowlabs/JSL-MedMNX-7B-v2.0/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [JSL-MedMNX-7B-v2.0.Q2_K.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q2_K.gguf) | Q2_K | 2.53GB |
| [JSL-MedMNX-7B-v2.0.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [JSL-MedMNX-7B-v2.0.IQ3_S.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [JSL-MedMNX-7B-v2.0.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [JSL-MedMNX-7B-v2.0.IQ3_M.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [JSL-MedMNX-7B-v2.0.Q3_K.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q3_K.gguf) | Q3_K | 3.28GB |
| [JSL-MedMNX-7B-v2.0.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [JSL-MedMNX-7B-v2.0.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [JSL-MedMNX-7B-v2.0.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [JSL-MedMNX-7B-v2.0.Q4_0.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q4_0.gguf) | Q4_0 | 3.83GB |
| [JSL-MedMNX-7B-v2.0.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [JSL-MedMNX-7B-v2.0.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [JSL-MedMNX-7B-v2.0.Q4_K.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q4_K.gguf) | Q4_K | 4.07GB |
| [JSL-MedMNX-7B-v2.0.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [JSL-MedMNX-7B-v2.0.Q4_1.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q4_1.gguf) | Q4_1 | 4.24GB |
| [JSL-MedMNX-7B-v2.0.Q5_0.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q5_0.gguf) | Q5_0 | 4.65GB |
| [JSL-MedMNX-7B-v2.0.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [JSL-MedMNX-7B-v2.0.Q5_K.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q5_K.gguf) | Q5_K | 4.78GB |
| [JSL-MedMNX-7B-v2.0.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [JSL-MedMNX-7B-v2.0.Q5_1.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q5_1.gguf) | Q5_1 | 5.07GB |
| [JSL-MedMNX-7B-v2.0.Q6_K.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q6_K.gguf) | Q6_K | 5.53GB |
| [JSL-MedMNX-7B-v2.0.Q8_0.gguf](https://huggingface.co/RichardErkhov/johnsnowlabs_-_JSL-MedMNX-7B-v2.0-gguf/blob/main/JSL-MedMNX-7B-v2.0.Q8_0.gguf) | Q8_0 | 7.17GB |




Original model description:
---
license: cc-by-nc-nd-4.0
language:
- en
library_name: transformers
tags:
- reward model
- RLHF
- medical
---

# JSL-MedMNX-7B-v2.0


[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)


This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
Performance on biomedical benchmarks: [Open Medical LLM Leaderboard](https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard).

This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) license and must also conform to this [Acceptable Use Policy](https://huggingface.co/johnsnowlabs). If you need to license  this model for commercial use, please contact us at info@johnsnowlabs.com.

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "johnsnowlabs/JSL-MedMNX-7B-v2.0"
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"])
```

## 🏆 Evaluation

|             Tasks             |Version|Filter|n-shot| Metric |Value |   |Stderr|
|-------------------------------|-------|------|-----:|--------|-----:|---|-----:|
|stem                           |N/A    |none  |     0|acc     |0.6085|±  |0.0057|
|                               |       |none  |     0|acc_norm|0.5700|±  |0.0067|
| - medmcqa                     |Yaml   |none  |     0|acc     |0.5625|±  |0.0077|
|                               |       |none  |     0|acc_norm|0.5625|±  |0.0077|
| - medqa_4options              |Yaml   |none  |     0|acc     |0.5947|±  |0.0138|
|                               |       |none  |     0|acc_norm|0.5947|±  |0.0138|
| - anatomy (mmlu)              |      0|none  |     0|acc     |0.6444|±  |0.0414|
| - clinical_knowledge (mmlu)   |      0|none  |     0|acc     |0.7509|±  |0.0266|
| - college_biology (mmlu)      |      0|none  |     0|acc     |0.7639|±  |0.0355|
| - college_medicine (mmlu)     |      0|none  |     0|acc     |0.6532|±  |0.0363|
| - medical_genetics (mmlu)     |      0|none  |     0|acc     |0.7500|±  |0.0435|
| - professional_medicine (mmlu)|      0|none  |     0|acc     |0.7537|±  |0.0262|
| - pubmedqa                    |      1|none  |     0|acc     |0.7760|±  |0.0187|

|Groups|Version|Filter|n-shot| Metric |Value |   |Stderr|
|------|-------|------|-----:|--------|-----:|---|-----:|
|stem  |N/A    |none  |     0|acc     |0.6085|±  |0.0057|
|      |       |none  |     0|acc_norm|0.5700|±  |0.0067|


