# acrastt/Marx-3B-V2-GGUF

Quantized GGUF model files for [Marx-3B-V2](https://huggingface.co/acrastt/Marx-3B-V2) from [acrastt](https://huggingface.co/acrastt)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [marx-3b-v2.fp16.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.fp16.gguf) | fp16 | 6.85 GB  |
| [marx-3b-v2.q2_k.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.q2_k.gguf) | q2_k | 2.15 GB  |
| [marx-3b-v2.q3_k_m.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.q3_k_m.gguf) | q3_k_m | 2.27 GB  |
| [marx-3b-v2.q4_k_m.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.q4_k_m.gguf) | q4_k_m | 2.58 GB  |
| [marx-3b-v2.q5_k_m.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.q5_k_m.gguf) | q5_k_m | 2.76 GB  |
| [marx-3b-v2.q6_k.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.q6_k.gguf) | q6_k | 3.64 GB  |
| [marx-3b-v2.q8_0.gguf](https://huggingface.co/afrideva/Marx-3B-V2-GGUF/resolve/main/marx-3b-v2.q8_0.gguf) | q8_0 | 3.64 GB  |



## Original Model Card:
<a href="https://www.buymeacoffee.com/acrastt" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>

This is [OpenLLaMA 3B V2](https://huggingface.co/openlm-research/open_llama_3b_v2) finetuned on [EverythingLM Data V2(ShareGPT format)](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V2-sharegpt) for 2 epochs.

Prompt template:
```
### HUMAN:
{prompt}

### RESPONSE:
<leave a newline for the model to answer>
```
q4_1 GGML quant available [here](https://huggingface.co/NikolayKozloff/Marx-3B-V2/).</br>
q4_1 GGUF quant available [here]( https://huggingface.co/NikolayKozloff/Marx-3B-V2-GGUF/).
{"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gguf", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0"], "datasets": ["totally-not-an-llm/EverythingLM-data-V2-sharegpt"], "model_name": "Marx-3B-V2", "base_model": "acrastt/Marx-3B-V2", "inference": false, "model_creator": "acrastt", "pipeline_tag": "text-generation", "quantized_by": "afrideva"}
transformers gguf ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0 text-generation en dataset:totally-not-an-llm/EverythingLM-data-V2-sharegpt base_model:acrastt/Marx-3B-V2 license:apache-2.0 region:us