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6Morpheus6
/
LLM2Vec-Meta-Llama-3-8B-Instruct-mntp

Sentence Similarity
Transformers
Safetensors
English
llama
image-feature-extraction
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
text-reranking
feature-extraction
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use 6Morpheus6/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 6Morpheus6/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("6Morpheus6/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp", trust_remote_code=True)
    model = AutoModel.from_pretrained("6Morpheus6/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
LLM2Vec-Meta-Llama-3-8B-Instruct-mntp
177 MB
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  • 1 contributor
History: 2 commits
6Morpheus6's picture
6Morpheus6
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a9b0061 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.32 kB
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  • adapter_config.json
    796 Bytes
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  • adapter_model.safetensors
    168 MB
    xet
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  • attn_mask_utils.py
    11.1 kB
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  • config.json
    783 Bytes
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  • modeling_llama_encoder.py
    2.86 kB
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  • special_tokens_map.json
    335 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    51 kB
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