Triangle104/Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from nvidia/Llama-3.1-8B-UltraLong-4M-Instruct
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
We introduce UltraLong-8B, a series of ultra-long context language models designed to process extensive sequences of text (up to 1M, 2M, and 4M tokens) while maintaining competitive performance on standard benchmarks. Built on the Llama-3.1, UltraLong-8B leverages a systematic training recipe that combines efficient continued pretraining with instruction tuning to enhance long-context understanding and instruction-following capabilities. This approach enables our models to efficiently scale their context windows without sacrificing general performance.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo Triangle104/Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M-GGUF --hf-file llama-3.1-8b-ultralong-4m-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M-GGUF --hf-file llama-3.1-8b-ultralong-4m-instruct-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1
flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo Triangle104/Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M-GGUF --hf-file llama-3.1-8b-ultralong-4m-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M-GGUF --hf-file llama-3.1-8b-ultralong-4m-instruct-q4_k_m.gguf -c 2048
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