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README.md

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+---
+base_model: tiiuae/falcon-7b-instruct
+datasets:
+- tiiuae/falcon-refinedweb
+language:
+- en
+license: apache-2.0
+tags:
+- llama-cpp
+- gguf-my-repo
+inference: true
+widget:
+- text: Hey Falcon! Any recommendations for my holidays in Abu Dhabi?
+  example_title: Abu Dhabi Trip
+- text: What's the Everett interpretation of quantum mechanics?
+  example_title: 'Q/A: Quantum & Answers'
+- text: Give me a list of the top 10 dive sites you would recommend around the world.
+  example_title: Diving Top 10
+- text: Can you tell me more about deep-water soloing?
+  example_title: Extreme sports
+- text: Can you write a short tweet about the Apache 2.0 release of our latest AI
+    model, Falcon LLM?
+  example_title: Twitter Helper
+- text: What are the responsabilities of a Chief Llama Officer?
+  example_title: Trendy Jobs
+---
+
+# Kondara/falcon-7b-instruct-Q4_K_M-GGUF
+This model was converted to GGUF format from [`tiiuae/falcon-7b-instruct`](https://huggingface.co/tiiuae/falcon-7b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/tiiuae/falcon-7b-instruct) for more details on the model.
+
+## 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 Kondara/falcon-7b-instruct-Q4_K_M-GGUF --hf-file falcon-7b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Kondara/falcon-7b-instruct-Q4_K_M-GGUF --hf-file falcon-7b-instruct-q4_k_m.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 Kondara/falcon-7b-instruct-Q4_K_M-GGUF --hf-file falcon-7b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Kondara/falcon-7b-instruct-Q4_K_M-GGUF --hf-file falcon-7b-instruct-q4_k_m.gguf -c 2048
+```