Transformers
GGUF
English
llama-factory
Not-For-All-Audiences
llama-cpp
gguf-my-repo
Inference Endpoints
conversational
Edit model card

AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF

This model was converted to GGUF format from nothingiisreal/L3-8B-Celeste-V1.2 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 (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF --hf-file l3-8b-celeste-v1.2-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF --hf-file l3-8b-celeste-v1.2-q5_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 AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF --hf-file l3-8b-celeste-v1.2-q5_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF --hf-file l3-8b-celeste-v1.2-q5_k_m.gguf -c 2048
Downloads last month
2
GGUF
Model size
8.03B params
Architecture
llama

5-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF

Quantized
(14)
this model

Datasets used to train AaronVB/L3-8B-Celeste-V1.2-Q5_K_M-GGUF