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nomic-embed-text-v2-moe-GGUF-Q4_K_M
majentik/nomic-embed-text-v2-moe-GGUF-Q4_K_M
nomic-embed-text-v2-moe-GGUF-Q4_K_M is a feature extraction model from majentik. Use it when you need embeddings to search or compare text. It is set up for gguf. The card lists the license as apache-2.0.
llama.cpp GGUF Q4KM quantization of nomic-ai/nomic-embed-text-v2-moe (multilingual MoE text embedding model, 475M total / 305M active parameters).
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Repo size
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At a glance
- Task
- Feature Extraction
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026
- SHA
- c295d4bd
Base models
Model card
From the Hugging Face model README
nomic-embed-text-v2-moe GGUF Q4_K_M
llama.cpp GGUF Q4_K_M quantization of nomic-ai/nomic-embed-text-v2-moe (multilingual MoE text embedding model, 475M total / 305M active parameters).
- Source revision:
1066b6599d099fbb93dfcb64f9c37a7c9e503e85(FP32 checkpoint) - Converted via
convert_hf_to_gguf.py(fresh llama.cpp tree), quantized withllama-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
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.
See also
- Base: nomic-ai/nomic-embed-text-v2-moe
- Garden hub: majentik/garden
- llama.cpp: https://github.com/ggml-org/llama.cpp
- Task
- Feature Extraction
- Library
- gguf
- License
- apache-2.0
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026