---
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
inference: false
language:
- en
license: apache-2.0
model_creator: TinyLlama
model_name: TinyLlama-1.1B-intermediate-step-1431k-3T
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
---
# TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF

Quantized GGUF model files for [TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) from [TinyLlama](https://huggingface.co/TinyLlama)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [tinyllama-1.1b-intermediate-step-1431k-3t.fp16.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.fp16.gguf) | fp16 | 2.20 GB  |
| [tinyllama-1.1b-intermediate-step-1431k-3t.q2_k.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q2_k.gguf) | q2_k | 483.12 MB  |
| [tinyllama-1.1b-intermediate-step-1431k-3t.q3_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q3_k_m.gguf) | q3_k_m | 550.82 MB  |
| [tinyllama-1.1b-intermediate-step-1431k-3t.q4_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q4_k_m.gguf) | q4_k_m | 668.79 MB  |
| [tinyllama-1.1b-intermediate-step-1431k-3t.q5_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q5_k_m.gguf) | q5_k_m | 783.02 MB  |
| [tinyllama-1.1b-intermediate-step-1431k-3t.q6_k.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q6_k.gguf) | q6_k | 904.39 MB  |
| [tinyllama-1.1b-intermediate-step-1431k-3t.q8_0.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q8_0.gguf) | q8_0 | 1.17 GB  |



## Original Model Card:
<div align="center">

# TinyLlama-1.1B
</div>

https://github.com/jzhang38/TinyLlama

The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01. 

<div align="center">
  <img src="./TinyLlama_logo.png" width="300"/>
</div>

We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.

#### This Collection
This collection contains all checkpoints after the 1T fix. Branch name indicates the step and number of tokens seen.

#### Eval

| Model                                     | Pretrain Tokens | HellaSwag | Obqa | WinoGrande | ARC_c | ARC_e | boolq | piqa | avg |
|-------------------------------------------|-----------------|-----------|------|------------|-------|-------|-------|------|-----|
| Pythia-1.0B                               |        300B     | 47.16     | 31.40| 53.43      | 27.05 | 48.99 | 60.83 | 69.21 | 48.30 |
| TinyLlama-1.1B-intermediate-step-50K-104b |        103B     | 43.50     | 29.80| 53.28      | 24.32 | 44.91 | 59.66 | 67.30 | 46.11|
| TinyLlama-1.1B-intermediate-step-240k-503b|        503B     | 49.56     |31.40 |55.80       |26.54  |48.32  |56.91  |69.42  | 48.28 |
| TinyLlama-1.1B-intermediate-step-480k-1007B |     1007B     | 52.54     | 33.40 | 55.96      | 27.82 | 52.36 | 59.54 | 69.91 | 50.22 |
| TinyLlama-1.1B-intermediate-step-715k-1.5T |     1.5T     | 53.68     | 35.20 | 58.33      | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
| TinyLlama-1.1B-intermediate-step-955k-2T |     2T     | 54.63     | 33.40 | 56.83      | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
| **TinyLlama-1.1B-intermediate-step-1195k-token-2.5T**  |     **2.5T**     | **58.96**     | **34.40** | **58.72**      | **31.91** | **56.78** | **63.21** | **73.07** | **53.86**|