README.md

---
base_model: vihangd/dopeyplats-1.1b-2T-v1
inference: false
license: apache-2.0
model_creator: vihangd
model_name: dopeyplats-1.1b-2T-v1
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
---
# vihangd/dopeyplats-1.1b-2T-v1-GGUF

Quantized GGUF model files for [dopeyplats-1.1b-2T-v1](https://huggingface.co./vihangd/dopeyplats-1.1b-2T-v1) from [vihangd](https://huggingface.co./vihangd)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [dopeyplats-1.1b-2t-v1.fp16.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.fp16.gguf) | fp16 | 2.20 GB  |
| [dopeyplats-1.1b-2t-v1.q2_k.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.q2_k.gguf) | q2_k | 483.12 MB  |
| [dopeyplats-1.1b-2t-v1.q3_k_m.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.q3_k_m.gguf) | q3_k_m | 550.82 MB  |
| [dopeyplats-1.1b-2t-v1.q4_k_m.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.q4_k_m.gguf) | q4_k_m | 668.79 MB  |
| [dopeyplats-1.1b-2t-v1.q5_k_m.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.q5_k_m.gguf) | q5_k_m | 783.02 MB  |
| [dopeyplats-1.1b-2t-v1.q6_k.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.q6_k.gguf) | q6_k | 904.39 MB  |
| [dopeyplats-1.1b-2t-v1.q8_0.gguf](https://huggingface.co./afrideva/dopeyplats-1.1b-2T-v1-GGUF/resolve/main/dopeyplats-1.1b-2t-v1.q8_0.gguf) | q8_0 | 1.17 GB  |



## Original Model Card:
<p><h1> DopeyPlats-1.1b V2 </h1></p>
An experimental finetune of TinyLLaMA 1.1b 2T with Alpaca-QLoRA with some dpo goodness
 
<h2> Datasets </h2>
Trained on alpca style datasets

<p><h2> Prompt Template </h2></p>
Uses alpaca style prompt template