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---
base_model: BEE-spoke-data/smol_llama-220M-GQA
datasets:
- JeanKaddour/minipile
- pszemraj/simple_wikipedia_LM
- mattymchen/refinedweb-3m
- BEE-spoke-data/knowledge-inoc-concat-v1
inference: false
language:
- en
license: apache-2.0
model_creator: BEE-spoke-data
model_name: smol_llama-220M-GQA
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- smol_llama
- llama2
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
widget:
- example_title: El Microondas
text: My name is El Microondas the Wise, and
- example_title: Kennesaw State University
text: Kennesaw State University is a public
- example_title: Bungie
text: Bungie Studios is an American video game developer. They are most famous for
developing the award winning Halo series of video games. They also made Destiny.
The studio was founded
- example_title: Mona Lisa
text: The Mona Lisa is a world-renowned painting created by
- example_title: Harry Potter Series
text: The Harry Potter series, written by J.K. Rowling, begins with the book titled
- example_title: Riddle
text: 'Question: I have cities, but no houses. I have mountains, but no trees. I
have water, but no fish. What am I?
Answer:'
- example_title: Photosynthesis
text: The process of photosynthesis involves the conversion of
- example_title: Story Continuation
text: Jane went to the store to buy some groceries. She picked up apples, oranges,
and a loaf of bread. When she got home, she realized she forgot
- example_title: Math Problem
text: 'Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
and another train leaves Station B at 10:00 AM and travels at 80 mph, when will
they meet if the distance between the stations is 300 miles?
To determine'
- example_title: Algorithm Definition
text: In the context of computer programming, an algorithm is
---
# BEE-spoke-data/smol_llama-220M-GQA-GGUF
Quantized GGUF model files for [smol_llama-220M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA) from [BEE-spoke-data](https://huggingface.co/BEE-spoke-data)
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [smol_llama-220m-gqa.fp16.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.fp16.gguf) | fp16 | 436.50 MB |
| [smol_llama-220m-gqa.q2_k.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.q2_k.gguf) | q2_k | 102.60 MB |
| [smol_llama-220m-gqa.q3_k_m.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.q3_k_m.gguf) | q3_k_m | 115.70 MB |
| [smol_llama-220m-gqa.q4_k_m.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.q4_k_m.gguf) | q4_k_m | 137.58 MB |
| [smol_llama-220m-gqa.q5_k_m.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.q5_k_m.gguf) | q5_k_m | 157.91 MB |
| [smol_llama-220m-gqa.q6_k.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.q6_k.gguf) | q6_k | 179.52 MB |
| [smol_llama-220m-gqa.q8_0.gguf](https://huggingface.co/afrideva/smol_llama-220M-GQA-GGUF/resolve/main/smol_llama-220m-gqa.q8_0.gguf) | q8_0 | 232.28 MB |
## Original Model Card:
# smol_llama: 220M GQA
> model card WIP, more details to come
A small 220M param (total) decoder model. This is the first version of the model.
- 1024 hidden size, 10 layers
- GQA (32 heads, 8 key-value), context length 2048
- train-from-scratch on one GPU :)
--- |