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, 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-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 LFG 🚀
Experimental CodeLlaMA frankenstein to see how it benchmarks
Models Merged with base codellama/CodeLlama-70b-hf
The following models were included in the merge:
- ../CodeLlama-70b-hf
- ../CodeLlama-70b-Instruct-hf
- ../CodeLlama-70b-Python-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-hf
- sources:
- layer_range: [66, 76]
model:
model:
path: ../CodeLlama-70b-Instruct-hf
- sources:
- layer_range: [42, 66]
model:
model:
path: ../CodeLlama-70b-hf
- sources:
- layer_range: [13, 37]
model:
model:
path: ../CodeLlama-70b-Python-hf
- sources:
- layer_range: [10, 80]
model:
model:
path: ../CodeLlama-70b-Instruct-hf
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Model tree for nisten/BigCodeLlama-169b
Base model
codellama/CodeLlama-70b-hf