README.md

---
language:
- en
license: llama3
tags:
- meta
- llama-3
- safetensors
pipeline_tag: text-generation
library_name: transformers
---

# Llama-3-8B-Instruct-Gradient-4194k-GGUF

# Fixing prompt format issues
- ~~Use iMatrix for Llama 3 prompt format on Q4 and below, or try Q4_K_M fixed~~
- ~~Use ChatML for Q6 and below~~
- Use Llama 3, see issues

# Issues
- ~~Context length is not defined correctly in quant, not sure if this is a llama.cpp issue~~ Use RoPE settings
- Output ends with </s> or other EOS tokens, might be an issue with their training data

This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-Gradient-4194k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-4194k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-4194k) for more details on the model.

| Filename | Quant | Size | Description |
| -------- | ---------- | --------- | ----------- |
| [llama-3-8b-instruct-gradient-4194k.f16.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.f16.gguf) | f16 | 14.9GB | Lossless |
| [llama-3-8b-instruct-gradient-4194k.Q8_0.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q8_0.gguf) | Q8_0 | 8.54GB | Extremely high quality |
| [llama-3-8b-instruct-gradient-4194k.Q6_K.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q6_K.gguf) | Q6_K | 6.60GB | Very high quality, near perfect, *recommended*. |
| [llama-3-8b-instruct-gradient-4194k.Q5_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q5_K_M.gguf) | Q5_K_M | 5.73GB | High quality |
| [llama-3-8b-instruct-gradient-4194k.Q5_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q5_K_S.gguf) | Q5_K_S | 5.60GB | Even higher quality |
| [llama-3-8b-instruct-gradient-4194k.Q4_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_M.gguf) | Q4_K_M | 4.92GB | Recommended, medium-high quality |
| [llama-3-8b-instruct-gradient-4194k.Q4_K_M.fixed.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_M.fixed.gguf) | Q4_K_M (fixed) | 4.92GB | Fixed version (requanted) |
| [llama-3-8b-instruct-gradient-4194k.Q4_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_S.gguf) | Q4_K_S | 4.69GB | Recommended, medium quality |
| [llama-3-8b-instruct-gradient-4194k.Q4_0.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_0.gguf) | Q4_0 | 4.66GB | Usable, better than Q3 but worse than Q4 |
| [llama-3-8b-instruct-gradient-4194k.Q3_K_L.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_L.gguf) | Q3_K_L | 4.32GB | Usable |
| [llama-3-8b-instruct-gradient-4194k.Q3_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_M.gguf) | Q3_K_M | 4.02GB | Bad quality, use Q4 |
| [llama-3-8b-instruct-gradient-4194k.Q3_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_S.gguf) | Q3_K_S | 3.66GB | Not recommended |
| [llama-3-8b-instruct-gradient-4194k.Q2_K.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q2_K.gguf) | Q2_K | 2.95GB | Very low quality, would not use on 8b models |
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo leafspark/llama-3-8b-instruct-gradient-4194k.Q8_0-GGUF --model llama-3-8b-instruct-gradient-4194k.Q8_0.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo leafspark/llama-3-8b-instruct-gradient-4194k.Q8_0-GGUF --model llama-3-8b-instruct-gradient-4194k.Q8_0.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m llama-3-8b-instruct-gradient-4194k.Q8_0.gguf -n 128
```