Downloads · 30 days
158
3% of all-time downloads
RichardErkhov/Replete-AI_-_Llama-3-13B-Instruct-gguf
Replete-AI_-_Llama-3-13B-Instruct-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
158
3% of all-time downloads
All-time downloads
4.6K
Public
Repo size
152 GB
Likes
0
Public
Click a slice to open those files.
.gguf176 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama-3-13B-Instruct - GGUF
| Name | Quant method | Size |
|---|---|---|
| Llama-3-13B-Instruct.Q2_K.gguf | Q2_K | 4.75GB |
| Llama-3-13B-Instruct.IQ3_XS.gguf | IQ3_XS | 5.27GB |
| Llama-3-13B-Instruct.IQ3_S.gguf | IQ3_S | 5.54GB |
| Llama-3-13B-Instruct.Q3_K_S.gguf | Q3_K_S | 5.51GB |
| Llama-3-13B-Instruct.IQ3_M.gguf | IQ3_M | 5.7GB |
| Llama-3-13B-Instruct.Q3_K.gguf | Q3_K | 6.08GB |
| Llama-3-13B-Instruct.Q3_K_M.gguf | Q3_K_M | 6.08GB |
| Llama-3-13B-Instruct.Q3_K_L.gguf | Q3_K_L | 6.58GB |
| Llama-3-13B-Instruct.IQ4_XS.gguf | IQ4_XS | 6.81GB |
| Llama-3-13B-Instruct.Q4_0.gguf | Q4_0 | 7.08GB |
| Llama-3-13B-Instruct.IQ4_NL.gguf | IQ4_NL | 7.16GB |
| Llama-3-13B-Instruct.Q4_K_S.gguf | Q4_K_S | 7.13GB |
| Llama-3-13B-Instruct.Q4_K.gguf | Q4_K | 7.51GB |
| Llama-3-13B-Instruct.Q4_K_M.gguf | Q4_K_M | 7.51GB |
| Llama-3-13B-Instruct.Q4_1.gguf | Q4_1 | 7.83GB |
| Llama-3-13B-Instruct.Q5_0.gguf | Q5_0 | 8.57GB |
| Llama-3-13B-Instruct.Q5_K_S.gguf | Q5_K_S | 8.57GB |
| Llama-3-13B-Instruct.Q5_K.gguf | Q5_K | 8.78GB |
| Llama-3-13B-Instruct.Q5_K_M.gguf | Q5_K_M | 8.78GB |
| Llama-3-13B-Instruct.Q5_1.gguf | Q5_1 | 9.31GB |
| Llama-3-13B-Instruct.Q6_K.gguf | Q6_K | 10.14GB |
| Llama-3-13B-Instruct.Q8_0.gguf | Q8_0 | 13.13GB |
This is the first version of upscaling llama-3. Version 2 is now out and does not have any of the issues that this version has. Please use version 2 instead. Linked bellow:
Llama-3-13B-Instruct
Thank you to Meta for the weights for Meta-Llama-3-8B-Instruct

This is an upscaling of the Meta-Llama-3-8B-Instruct Ai using techniques created for Mistral-Evolved-11b-v0.1. This Ai model has been upscaled from 8b parameters to 13b parameters without any continuous pretraining or fine-tuning.
From testing, the model seems to function perfectly at fp16, but has some issues at 4-bit quantization using bitsandbytes.
The model that was used to create this one is linked below: