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README.md

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+---
+language:
+- en
+- fr
+- ro
+- de
+- multilingual
+widget:
+- text: 'Translate to German:  My name is Arthur'
+  example_title: Translation
+- text: Please answer to the following question. Who is going to be the next Ballon
+    d'or?
+  example_title: Question Answering
+- text: 'Q: Can Geoffrey Hinton have a conversation with George Washington? Give the
+    rationale before answering.'
+  example_title: Logical reasoning
+- text: Please answer the following question. What is the boiling point of Nitrogen?
+  example_title: Scientific knowledge
+- text: Answer the following yes/no question. Can you write a whole Haiku in a single
+    tweet?
+  example_title: Yes/no question
+- text: Answer the following yes/no question by reasoning step-by-step. Can you write
+    a whole Haiku in a single tweet?
+  example_title: Reasoning task
+- text: 'Q: ( False or not False or False ) is? A: Let''s think step by step'
+  example_title: Boolean Expressions
+- text: The square root of x is the cube root of y. What is y to the power of 2, if
+    x = 4?
+  example_title: Math reasoning
+- text: 'Premise:  At my age you will probably have learnt one lesson. Hypothesis:  It''s
+    not certain how many lessons you''ll learn by your thirties. Does the premise
+    entail the hypothesis?'
+  example_title: Premise and hypothesis
+tags:
+- text2text-generation
+- llama-cpp
+- gguf-my-repo
+datasets:
+- svakulenk0/qrecc
+- taskmaster2
+- djaym7/wiki_dialog
+- deepmind/code_contests
+- lambada
+- gsm8k
+- aqua_rat
+- esnli
+- quasc
+- qed
+license: apache-2.0
+base_model: google/flan-t5-large
+---
+
+# Res-eng-AC/flan-t5-large-Q4_K_M-GGUF
+This model was converted to GGUF format from [`google/flan-t5-large`](https://huggingface.co/google/flan-t5-large) 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/google/flan-t5-large) 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 Res-eng-AC/flan-t5-large-Q4_K_M-GGUF --hf-file flan-t5-large-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Res-eng-AC/flan-t5-large-Q4_K_M-GGUF --hf-file flan-t5-large-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 Res-eng-AC/flan-t5-large-Q4_K_M-GGUF --hf-file flan-t5-large-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Res-eng-AC/flan-t5-large-Q4_K_M-GGUF --hf-file flan-t5-large-q4_k_m.gguf -c 2048
+```