Downloads · 30 days
50
15% of all-time downloads
nomic-embed-text-v2-moe-GGUF-Q8_0
majentik/nomic-embed-text-v2-moe-GGUF-Q8_0
nomic-embed-text-v2-moe-GGUF-Q8_0 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 Q80 quantization of nomic-ai/nomic-embed-text-v2-moe (multilingual MoE text embedding model, 475M total / 305M active parameters).
All-time downloads
339
Public
Repo size
512 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf512 MB · 100%
At a glance
- Task
- Feature Extraction
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026
- SHA
- b9c30148
Base models
Model card
From the Hugging Face model README
nomic-embed-text-v2-moe GGUF Q8_0
llama.cpp GGUF Q8_0 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: Q8_0
- File size: 488 MB
Embedding fidelity gate
This tier passed the release gate: min cosine similarity 0.999537
(mean 0.999675) versus the F16 GGUF baseline across an
8-sentence multilingual set via llama-embedding (threshold 0.99).
Quickstart
llama-embedding -m nomic-embed-text-v2-moe-Q8_0.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