RichardErkhov/BEE-spoke-data_-_smol_llama-81M-tied-8bits

Quantization made by Richard Erkhov.

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smol_llama-81M-tied - bnb 8bits

• —Model creator: https://huggingface.co/BEE-spoke-data/
• —Original model: https://huggingface.co/BEE-spoke-data/smol_llama-81M-tied/

Original model description: --- license: apache-2.0 thumbnail: https://i.ibb.co/TvyMrRc/rsz-smol-llama-banner.png language:

• —en inference: parameters: maxnewtokens: 64 dosample: true temperature: 0.8 repetitionpenalty: 1.15 norepeatngramsize: 4 etacutoff: 0.0006 renormalize_logits: true widget:
• —text: My name is El Microondas the Wise and example_title: El Microondas
• —text: Kennesaw State University is a public example_title: Kennesaw State University
• —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: Bungie
• —text: The Mona Lisa is a world-renowned painting created by example_title: Mona Lisa
• —text: >- The Harry Potter series, written by J.K. Rowling, begins with the book titled example_title: Harry Potter Series
• —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: Riddle

• —text: The process of photosynthesis involves the conversion of example_title: Photosynthesis
• —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: Story Continuation
• —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: Math Problem

• —text: In the context of computer programming, an algorithm is exampletitle: Algorithm Definition pipelinetag: text-generation tags:
• —smol_llama
• —llama2 datasets:
• —JeanKaddour/minipile
• —pszemraj/simplewikipediaLM
• —BEE-spoke-data/wikipedia-20230901.en-deduped
• —mattymchen/refinedweb-3m ---

smol_llama-81M-tied

<img src="smol-llama-banner.png" alt="banner" style="max-width:80%; height:auto;">

A small 81M param (total) decoder model, enabled through tying the input/output embeddings. This is the first version of the model.

• —768 hidden size, 6 layers
• —standard multi-head attention (24 heads), context length 1024
• —input/output embeddings are tied
• —train-from-scratch

Notes

This checkpoint is the 'raw' pre-trained model and has not been tuned to a more specific task. It should be fine-tuned before use in most cases.

• —slightly larger 101M param GQA pretrained version: here
• —For the chat version of this model, please see here

Open LLM Leaderboard Evaluation Results

Detailed results can be found here