YAML Metadata
Warning:
The pipeline tag "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, 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-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, any-to-any, other
BigCodeLLama 92b GGUF files 🚀
Experimental 92B CodeLlaMA that should be better than stock
Models Merged with base codellama/CodeLlama-70b-Instruct-hf
Full model here: https://huggingface.co/nisten/BigCodeLlama-92b
Models Merged
The following models were included in the merge:
- ../CodeLlama-70b-Python-hf
- ../CodeLlama-70b-Instruct-hf
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 69]
model:
model:
path: ../CodeLlama-70b-Instruct-hf
- sources:
- layer_range: [42, 80]
model:
model:
path: ../CodeLlama-70b-Python-hf
To merge together the 6bit for example download both parts then do
cat BigCodeLlama-92b-q6.gguf.part0 BigCodeLlama-92b-q6.gguf.part1 > BigCodeLlama-92b-q6.gguf
Comparison over stock with question:
Plan and write code for building a city on mars via calculating aldrin cycler orbits in js for cargo shipments starting in year 2030, and after coding it in python and c++ output a table of calendar of deliver dates.
Don't ask for clarification just do the work smartly.
and our 6bit quant
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Model tree for nisten/BigCodeLlama-92b-GGUF
Base model
codellama/CodeLlama-70b-Instruct-hf