YAML Metadata Warning: The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

wendys-llc/unsloth-attempt-Q8_0-GGUF

This model was converted to GGUF format from wendys-llc/unsloth-attempt using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Prompt

Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
Use the Input below to explain a task or topic

### Input:
{}

### Response:
{}

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo wendys-llc/unsloth-attempt-Q8_0-GGUF --model unsloth-attempt.Q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo wendys-llc/unsloth-attempt-Q8_0-GGUF --model unsloth-attempt.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.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m unsloth-attempt.Q8_0.gguf -n 128
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GGUF
Model size
8B params
Architecture
llama
Hardware compatibility
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Dataset used to train wendys-llc/unsloth-attempt-Q8_0-GGUF