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matbee
/
kimodo-llm2vec-nf4

Feature Extraction
Transformers
Safetensors
PEFT
English
llm2vec
embedding
sentence-similarity
text-encoder
llama3
kimodo
quantized
bitsandbytes
nf4
4-bit precision
lora
Model card Files Files and versions
xet
Community

Instructions to use matbee/kimodo-llm2vec-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use matbee/kimodo-llm2vec-nf4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="matbee/kimodo-llm2vec-nf4")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("matbee/kimodo-llm2vec-nf4", dtype="auto")
  • PEFT

    How to use matbee/kimodo-llm2vec-nf4 with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
kimodo-llm2vec-nf4
4.84 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
matbee's picture
matbee
Initial NF4-quantized LLM2Vec export for Kimodo
c9fb27c verified 3 days ago
  • base
    Initial NF4-quantized LLM2Vec export for Kimodo 3 days ago
  • supervised_adapter
    Initial NF4-quantized LLM2Vec export for Kimodo 3 days ago
  • .gitattributes
    1.58 kB
    Initial NF4-quantized LLM2Vec export for Kimodo 3 days ago
  • LICENSE-Llama-3.txt
    239 Bytes
    Initial NF4-quantized LLM2Vec export for Kimodo 3 days ago
  • README.md
    8.57 kB
    Initial NF4-quantized LLM2Vec export for Kimodo 3 days ago
  • qbench_export.json
    471 Bytes
    Initial NF4-quantized LLM2Vec export for Kimodo 3 days ago