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README.md

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+---
+license: apache-2.0
+language:
+- en
+datasets:
+- togethercomputer/RedPajama-Data-1T
+- OpenAssistant/oasst1
+- databricks/databricks-dolly-15k
+widget:
+- text: '<human>: Write an email to my friends inviting them to come to my home on
+    Friday for a dinner party, bring their own food to share.
+
+    <bot>:'
+  example_title: Email Writing
+- text: '<human>: Create a list of things to do in San Francisco
+
+    <bot>:'
+  example_title: Brainstorming
+inference:
+  parameters:
+    temperature: 0.7
+    top_p: 0.7
+    top_k: 50
+    max_new_tokens: 128
+tags:
+- llama-cpp
+- gguf-my-repo
+base_model: togethercomputer/RedPajama-INCITE-Chat-3B-v1
+---
+
+# UKPMAN0/RedPajama-INCITE-Chat-3B-v1-Q4_K_M-GGUF
+This model was converted to GGUF format from [`togethercomputer/RedPajama-INCITE-Chat-3B-v1`](https://huggingface.co/togethercomputer/RedPajama-INCITE-Chat-3B-v1) 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/togethercomputer/RedPajama-INCITE-Chat-3B-v1) 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 UKPMAN0/RedPajama-INCITE-Chat-3B-v1-Q4_K_M-GGUF --hf-file redpajama-incite-chat-3b-v1-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo UKPMAN0/RedPajama-INCITE-Chat-3B-v1-Q4_K_M-GGUF --hf-file redpajama-incite-chat-3b-v1-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 UKPMAN0/RedPajama-INCITE-Chat-3B-v1-Q4_K_M-GGUF --hf-file redpajama-incite-chat-3b-v1-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo UKPMAN0/RedPajama-INCITE-Chat-3B-v1-Q4_K_M-GGUF --hf-file redpajama-incite-chat-3b-v1-q4_k_m.gguf -c 2048
+```