metadata
library_name: transformers
license: llama2
datasets:
- aqua_rat
- microsoft/orca-math-word-problems-200k
- m-a-p/CodeFeedback-Filtered-Instruction
- anon8231489123/ShareGPT_Vicuna_unfiltered
Description
This repo contains GGUF format model files for Llama-3-Smaug-8B.
Files Provided
| Name | Quant | Bits | File Size | Remark |
|---|---|---|---|---|
| llama-3-smaug-8b.Q2_K.gguf | Q2_K | 2 | 3.18 GB | 2.96G, +3.5199 ppl @ Llama-3-8B |
| llama-3-smaug-8b.Q3_K.gguf | Q3_K | 3 | 4.02 GB | 3.74G, +0.6569 ppl @ Llama-3-8B |
| llama-3-smaug-8b.Q4_0.gguf | Q4_0 | 4 | 4.66 GB | 4.34G, +0.4685 ppl @ Llama-3-8B |
| llama-3-smaug-8b.Q4_K.gguf | Q4_K | 4 | 4.92 GB | 4.58G, +0.1754 ppl @ Llama-3-8B |
| llama-3-smaug-8b.Q5_K.gguf | Q5_K | 5 | 5.73 GB | 5.33G, +0.0569 ppl @ Llama-3-8B |
| llama-3-smaug-8b.Q6_K.gguf | Q6_K | 6 | 6.60 GB | 6.14G, +0.0217 ppl @ Llama-3-8B |
| llama-3-smaug-8b.Q8_0.gguf | Q8_0 | 8 | 8.54 GB | 7.96G, +0.0026 ppl @ Llama-3-8B |
Parameters
| path | type | architecture | rope_theta | sliding_win | max_pos_embed |
|---|---|---|---|---|---|
| abacusai/Llama-3-Smaug-8B | llama | LlamaForCausalLM | 500000.0 | null | 8192 |
Benchmarks
Original Model Card
Llama-3-Smaug-8B
Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to meta-llama/Meta-Llama-3-8B-Instruct.
Model Description
- Developed by: Abacus.AI
- License: https://llama.meta.com/llama3/license/
- Finetuned from model: meta-llama/Meta-Llama-3-8B-Instruct.
Evaluation
MT-Bench
########## First turn ##########
score
model turn
Llama-3-Smaug-8B 1 8.77500
Meta-Llama-3-8B-Instruct 1 8.31250
########## Second turn ##########
score
model turn
Meta-Llama-3-8B-Instruct 2 7.8875
Llama-3-Smaug-8B 2 7.8875
########## Average ##########
score
model
Llama-3-Smaug-8B 8.331250
Meta-Llama-3-8B-Instruct 8.10
| Model | First turn | Second Turn | Average |
|---|---|---|---|
| Llama-3-Smaug-8B | 8.78 | 7.89 | 8.33 |
| Llama-3-8B-Instruct | 8.31 | 7.89 | 8.10 |
This version of Smaug uses new techniques and new data compared to Smaug-72B, and more information will be released later on. For now, see the previous Smaug paper: https://arxiv.org/abs/2402.13228.