Transformers
GGUF
6 languages
text-generation-inference
unsloth
mistral
trl
chemistry
biology
legal
art
music
finance
code
medical
Not-For-All-Audiences
Merge
climate
chain-of-thought
tree-of-knowledge
forest-of-thoughts
visual-spacial-sketchpad
alpha-mind
knowledge-graph
entity-detection
encyclopedia
wikipedia
stack-exchange
Reddit
Cyber-series
MegaMind
Cybertron
SpydazWeb
Spydaz
LCARS
star-trek
mega-transformers
Mulit-Mega-Merge
Multi-Lingual
Afro-Centric
African-Model
Ancient-One
llama-cpp
gguf-my-repo
Inference Endpoints
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LeroyDyer/LCARS_AI_014-Q4_K_M-GGUF

This model was converted to GGUF format from LeroyDyer/LCARS_AI_014 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 LeroyDyer/LCARS_AI_014-Q4_K_M-GGUF --hf-file lcars_ai_014-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo LeroyDyer/LCARS_AI_014-Q4_K_M-GGUF --hf-file lcars_ai_014-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 LeroyDyer/LCARS_AI_014-Q4_K_M-GGUF --hf-file lcars_ai_014-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo LeroyDyer/LCARS_AI_014-Q4_K_M-GGUF --hf-file lcars_ai_014-q4_k_m.gguf -c 2048
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GGUF
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Datasets used to train LeroyDyer/LCARS_AI_014-Q4_K_M-GGUF