---
base_model: Tensoic/Tiny-Llama-openhermes-1.1B-step-715k-1.5T
inference: false
license: apache-2.0
model-index:
- name: out
  results: []
model_creator: Tensoic
model_name: Tiny-Llama-openhermes-1.1B-step-715k-1.5T
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- generated_from_trainer
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
datasets:
- teknium/openhermes
---

# Tensoic/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF

Quantized GGUF model files for [Tiny-Llama-openhermes-1.1B-step-715k-1.5T](https://huggingface.co/Tensoic/Tiny-Llama-openhermes-1.1B-step-715k-1.5T) from [Tensoic](https://huggingface.co/Tensoic)

| Name | Quant method | Size |
| ---- | ---- | ---- |
| [tiny-llama-openhermes-1.1b-step-715k-1.5t.q2_k.gguf](https://huggingface.co/afrideva/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF/resolve/main/tiny-llama-openhermes-1.1b-step-715k-1.5t.q2_k.gguf) | q2_k | 482.14 MB  |
| [tiny-llama-openhermes-1.1b-step-715k-1.5t.q3_k_m.gguf](https://huggingface.co/afrideva/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF/resolve/main/tiny-llama-openhermes-1.1b-step-715k-1.5t.q3_k_m.gguf) | q3_k_m | 549.85 MB  |
| [tiny-llama-openhermes-1.1b-step-715k-1.5t.q4_k_m.gguf](https://huggingface.co/afrideva/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF/resolve/main/tiny-llama-openhermes-1.1b-step-715k-1.5t.q4_k_m.gguf) | q4_k_m | 667.81 MB  |
| [tiny-llama-openhermes-1.1b-step-715k-1.5t.q5_k_m.gguf](https://huggingface.co/afrideva/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF/resolve/main/tiny-llama-openhermes-1.1b-step-715k-1.5t.q5_k_m.gguf) | q5_k_m | 782.04 MB  |
| [tiny-llama-openhermes-1.1b-step-715k-1.5t.q6_k.gguf](https://huggingface.co/afrideva/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF/resolve/main/tiny-llama-openhermes-1.1b-step-715k-1.5t.q6_k.gguf) | q6_k | 903.41 MB  |
| [tiny-llama-openhermes-1.1b-step-715k-1.5t.q8_0.gguf](https://huggingface.co/afrideva/Tiny-Llama-openhermes-1.1B-step-715k-1.5T-GGUF/resolve/main/tiny-llama-openhermes-1.1b-step-715k-1.5t.q8_0.gguf) | q8_0 | 1.17 GB  |

# Prompt Format: Alpaca
```
### Instruction:
{Instruction/Question}

### Response:

```

## Original Model Card:
This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on the [openhermes](https://huggingface.co/datasets/teknium/openhermes) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2355

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4654        | 0.0   | 1     | 3.5326          |
| 1.2162        | 0.05  | 1503  | 1.9335          |
| 1.1918        | 0.1   | 3006  | 1.7391          |
| 1.4188        | 0.15  | 4509  | 1.7574          |
| 1.8281        | 0.2   | 6012  | 1.6704          |
| 0.8639        | 0.25  | 7515  | 1.7459          |
| 1.3764        | 0.3   | 9018  | 1.6832          |
| 2.1172        | 0.35  | 10521 | 1.6398          |
| 1.1855        | 0.4   | 12024 | 1.6007          |
| 1.5604        | 0.45  | 13527 | 1.5256          |
| 1.0224        | 0.5   | 15030 | 1.4891          |
| 1.5582        | 0.55  | 16533 | 1.4903          |
| 0.9489        | 0.6   | 18036 | 1.4179          |
| 1.67          | 0.65  | 19539 | 1.4585          |
| 0.8542        | 0.7   | 21042 | 1.3810          |
| 1.5301        | 0.75  | 22545 | 1.3645          |
| 0.951         | 0.8   | 24048 | 1.3087          |
| 1.1791        | 0.85  | 25551 | 1.3018          |
| 1.3342        | 0.9   | 27054 | 1.2595          |
| 1.1221        | 0.95  | 28557 | 1.2355          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1