Quantization made by Richard Erkhov.

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

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

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


cosmo-3b-test - GGUF
- Model creator: https://huggingface.co/frankenmerger/
- Original model: https://huggingface.co/frankenmerger/cosmo-3b-test/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [cosmo-3b-test.Q2_K.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q2_K.gguf) | Q2_K | 1.03GB |
| [cosmo-3b-test.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.IQ3_XS.gguf) | IQ3_XS | 1.14GB |
| [cosmo-3b-test.IQ3_S.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.IQ3_S.gguf) | IQ3_S | 1.21GB |
| [cosmo-3b-test.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q3_K_S.gguf) | Q3_K_S | 1.21GB |
| [cosmo-3b-test.IQ3_M.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.IQ3_M.gguf) | IQ3_M | 1.26GB |
| [cosmo-3b-test.Q3_K.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q3_K.gguf) | Q3_K | 1.34GB |
| [cosmo-3b-test.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q3_K_M.gguf) | Q3_K_M | 1.34GB |
| [cosmo-3b-test.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q3_K_L.gguf) | Q3_K_L | 1.46GB |
| [cosmo-3b-test.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.IQ4_XS.gguf) | IQ4_XS | 1.49GB |
| [cosmo-3b-test.Q4_0.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q4_0.gguf) | Q4_0 | 1.56GB |
| [cosmo-3b-test.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.IQ4_NL.gguf) | IQ4_NL | 1.57GB |
| [cosmo-3b-test.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q4_K_S.gguf) | Q4_K_S | 1.57GB |
| [cosmo-3b-test.Q4_K.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q4_K.gguf) | Q4_K | 1.67GB |
| [cosmo-3b-test.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q4_K_M.gguf) | Q4_K_M | 1.67GB |
| [cosmo-3b-test.Q4_1.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q4_1.gguf) | Q4_1 | 1.73GB |
| [cosmo-3b-test.Q5_0.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q5_0.gguf) | Q5_0 | 1.9GB |
| [cosmo-3b-test.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q5_K_S.gguf) | Q5_K_S | 1.9GB |
| [cosmo-3b-test.Q5_K.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q5_K.gguf) | Q5_K | 1.95GB |
| [cosmo-3b-test.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q5_K_M.gguf) | Q5_K_M | 1.95GB |
| [cosmo-3b-test.Q5_1.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q5_1.gguf) | Q5_1 | 2.07GB |
| [cosmo-3b-test.Q6_K.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q6_K.gguf) | Q6_K | 2.25GB |
| [cosmo-3b-test.Q8_0.gguf](https://huggingface.co/RichardErkhov/frankenmerger_-_cosmo-3b-test-gguf/blob/main/cosmo-3b-test.Q8_0.gguf) | Q8_0 | 2.92GB |




Original model description:
---
widget:
  - text: 'Artificial Intelligence is'
    example_title: Textbook
    group: Completion
  - text: '<s> [INST]  How to take care of exotic cars? [/INST] '
    example_title: Wikihow
    group: Completion
  - text: '<s> [INST] Generate a story about a Dark Knight [/INST] '
    example_title: Story
    group: Completion
inference:
  parameters:
    temperature: 0.6
    top_p: 0.9
    top_k: 30
    repetition_penalty: 1.2
license: apache-2.0
language:
- en
pipeline_tag: text-generation
---

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "gmonsoon/frankencosmo-test"
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"])
```