metadata
language:
- en
license: llama3
tags:
- meta
- llama-3
- llama-cpp
- gguf-my-repo
pipeline_tag: text-generation
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 fixedUse 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
- Output ends with 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
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
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