---

language:

• en
• fr
• ro
• de
• multilingual

tags:

• text2text-generation
• llama-cpp
• gguf-my-repo

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

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-small

---

qikp/flan-t5-small-Q8_0-GGUF

This model was converted to GGUF format from google/flan-t5-small 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 qikp/flan-t5-small-Q8_0-GGUF --hf-file flan-t5-small-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo qikp/flan-t5-small-Q8_0-GGUF --hf-file flan-t5-small-q8_0.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 qikp/flan-t5-small-Q8_0-GGUF --hf-file flan-t5-small-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo qikp/flan-t5-small-Q8_0-GGUF --hf-file flan-t5-small-q8_0.gguf -c 2048