Source revision: 1066b6599d099fbb93dfcb64f9c37a7c9e503e85 (FP32 checkpoint)
Converted via convert_hf_to_gguf.py (fresh llama.cpp tree), quantized with llama-quantize
Quant type: Q4_K_M
File size: 336 MB

Embedding fidelity gate

This tier passed the release gate: min cosine similarity 0.992074 (mean 0.993567) versus the F16 GGUF baseline across an 8-sentence multilingual set via llama-embedding (threshold 0.98).

Quickstart

bash

llama-embedding -m nomic-embed-text-v2-moe-Q4_K_M.gguf --pooling mean \
  -p "What is the capital of France?"

License

Apache 2.0 — inherited from the upstream base model.

majentik/nomic-embed-text-v2-moe-GGUF-Q4_K_M

nomic-embed-text-v2-moe GGUF Q4_K_M

Embedding fidelity gate

Quickstart

License

See also

majentik/
nomic-embed-text-v2-moe-GGUF-Q4_K_M