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Model: brunopio/Llama3-8B-1.58-100B-tokens-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,53 @@
+---
+library_name: transformers
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+- HF1BitLLM/Llama3-8B-1.58-100B-tokens
+---
+
+# Model Card for Model ID
+
+### Llama3-8B-1.58 Models
+
+This model was converted to GGUF format from [HF1BitLLM/Llama3-8B-1.58-100B-tokens](https://huggingface.co/HF1BitLLM/Llama3-8B-1.58-100B-tokens) using llama.cpp.
+
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo brunopio/Llama3-8B-1.58-100B-tokens-GGUF --hf-file Llama3-8B-1.58-100B-tokens-GGUF -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo brunopio/Llama3-8B-1.58-100B-tokens-GGUF --hf-file Llama3-8B-1.58-100B-tokens-GGUF -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 brunopio/Llama3-8B-1.58-100B-tokens-GGUF --hf-file Llama3-8B-1.58-100B-tokens-GGUF -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo brunopio/Llama3-8B-1.58-100B-tokens-GGUF --hf-file Llama3-8B-1.58-100B-tokens-GGUF -c 2048
+```