Hugging Face's logo

leafspark
/
Llama-3-8B-Instruct-Gradient-4194k-GGUF

Text Generation
Transformers
GGUF
Safetensors
English
meta
llama-3
Inference Endpoints
conversational
Model card Files Community
Llama-3-8B-Instruct-Gradient-4194k-GGUF / README.md
leafspark's picture
leafspark
Update README.md
67a2f13 verified
preview code
|
raw
history blame
4.33 kB
metadata
language:
  - en
license: llama3
tags:
  - meta
  - llama-3
  - llama-cpp
  - gguf-my-repo
pipeline_tag: text-generation

leafspark/llama-3-8b-instruct-gradient-4194k.Q8_0-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 any format for f16

Issues

  • Context length is not defined correctly in quant, not sure if this is a llama.cpp issue

This model was converted to GGUF format from gradientai/Llama-3-8B-Instruct-Gradient-4194k using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Filename Quant Size Description
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 Q6_K 6.60GB Very high quality, near perfect, recommended.
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 Q5_K_S 5.60GB Even higher quality
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_S.gguf Q4_K_S 4.69GB Recommended, medium quality
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 Q3_K_L 4.32GB Usable
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 Q3_K_S 3.66GB Not recommended
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.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

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:

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 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