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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- llama-cpp
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- gguf-my-repo
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datasets:
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- togethercomputer/RedPajama-Data-1T
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- togethercomputer/RedPajama-Data-Instruct
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widget:
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- text: "Label the sentences as either 'positive', 'negative', 'mixed', or 'neutral':\
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\ \n\nSentence: I can say that there isn't anything I would change.\nLabel: positive\n\
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\nSentence: I'm not sure about this.\nLabel: neutral\n\nSentence: I liked some\
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\ parts but I didn't like other parts.\nLabel: mixed\n\nSentence: I think the\
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\ background image could have been better.\nLabel: negative\n\nSentence: I really\
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\ like it.\nLabel:"
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example_title: Sentiment Analysis
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- text: 'Please answer the following question:
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Question: What is the capital of Canada?
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Answer: Ottawa
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Question: What is the currency of Switzerland?
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Answer: Swiss franc
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Question: In which country is Wisconsin located?
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Answer:'
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example_title: Question Answering
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- text: 'Given a news article, classify its topic.
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Possible labels: 1. World 2. Sports 3. Business 4. Sci/Tech
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Article: A nearby star thought to harbor comets and asteroids now appears to be
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home to planets, too.
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Label: Sci/Tech
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Article: Soaring crude prices plus worries about the economy and the outlook for
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earnings are expected to hang over the stock market next week during the depth
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of the summer doldrums.
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Label: Business
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Article: Murtagh a stickler for success Northeastern field hockey coach Cheryl
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Murtagh doesn''t want the glare of the spotlight that shines on her to detract
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from a team that has been the America East champion for the past three years and
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has been to the NCAA tournament 13 times.
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Label::'
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example_title: Topic Classification
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- text: 'Paraphrase the given sentence into a different sentence.
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Input: Can you recommend some upscale restaurants in New York?
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Output: What upscale restaurants do you recommend in New York?
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Input: What are the famous places we should not miss in Paris?
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Output: Recommend some of the best places to visit in Paris?
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Input: Could you recommend some hotels that have cheap price in Zurich?
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Output:'
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example_title: Paraphrasing
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- text: 'Given a review from Amazon''s food products, the task is to generate a short
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summary of the given review in the input.
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Input: I have bought several of the Vitality canned dog food products and have
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found them all to be of good quality. The product looks more like a stew than
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a processed meat and it smells better. My Labrador is finicky and she appreciates
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this product better than most.
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Output: Good Quality Dog Food
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Input: Product arrived labeled as Jumbo Salted Peanuts...the peanuts were actually
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small sized unsalted. Not sure if this was an error or if the vendor intended
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to represent the product as ''Jumbo''.
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Output: Not as Advertised
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Input: My toddler loves this game to a point where he asks for it. That''s a big
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thing for me. Secondly, no glitching unlike one of their competitors (PlayShifu).
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Any tech I don’t have to reach out to support for help is a good tech for me.
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I even enjoy some of the games and activities in this. Overall, this is a product
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that shows that the developers took their time and made sure people would not
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be asking for refund. I’ve become bias regarding this product and honestly I look
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forward to buying more of this company’s stuff. Please keep up the great work.
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Output:'
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example_title: Text Summarization
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- text: 'Identify which sense of a word is meant in a given context.
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Context: The river overflowed the bank.
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Word: bank
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Sense: river bank
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Context: A mouse takes much more room than a trackball.
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Word: mouse
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Sense: computer mouse
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Context: The bank will not be accepting cash on Saturdays.
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Word: bank
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Sense: commercial (finance) banks
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Context: Bill killed the project
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Word: kill
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Sense:'
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example_title: Word Sense Disambiguation
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- text: 'Given a pair of sentences, choose whether the two sentences agree (entailment)/disagree
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(contradiction) with each other.
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Possible labels: 1. entailment 2. contradiction
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Sentence 1: The skier was on the edge of the ramp. Sentence 2: The skier was dressed
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in winter clothes.
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Label: entailment
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Sentence 1: The boy skated down the staircase railing. Sentence 2: The boy is
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a newbie skater.
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Label: contradiction
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Sentence 1: Two middle-aged people stand by a golf hole. Sentence 2: A couple
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riding in a golf cart.
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Label:'
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example_title: Natural Language Inference
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inference:
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parameters:
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temperature: 0.7
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top_p: 0.7
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top_k: 50
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max_new_tokens: 128
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---
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# DavidAU/RedPajama-INCITE-7B-Instruct-Q6_K-GGUF
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This model was converted to GGUF format from [`togethercomputer/RedPajama-INCITE-7B-Instruct`](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Instruct) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew.
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```bash
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brew install ggerganov/ggerganov/llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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CLI:
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```bash
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llama-cli --hf-repo DavidAU/RedPajama-INCITE-7B-Instruct-Q6_K-GGUF --model redpajama-incite-7b-instruct.Q6_K.gguf -p "The meaning to life and the universe is"
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```
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Server:
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```bash
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llama-server --hf-repo DavidAU/RedPajama-INCITE-7B-Instruct-Q6_K-GGUF --model redpajama-incite-7b-instruct.Q6_K.gguf -c 2048
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```
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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.
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```
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m redpajama-incite-7b-instruct.Q6_K.gguf -n 128
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```
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