Instructions to use ngquocvinh/EmbeddingGemma-2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ngquocvinh/EmbeddingGemma-2-GGUF with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("ngquocvinh/EmbeddingGemma-2-GGUF")

sentences = [
    "The weather is lovely today.",
    "It's so sunny outside!",
    "He drove to the stadium."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ngquocvinh/EmbeddingGemma-2-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M

Use Docker

docker model run hf.co/ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use ngquocvinh/EmbeddingGemma-2-GGUF with Ollama:
```
ollama run hf.co/ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use ngquocvinh/EmbeddingGemma-2-GGUF with Docker Model Runner:
```
docker model run hf.co/ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M
```

Lemonade

How to use ngquocvinh/EmbeddingGemma-2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ngquocvinh/EmbeddingGemma-2-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.EmbeddingGemma-2-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

ngquocvinh commited on 4 days ago

Commit

1952972

verified ·

1 Parent(s): b20f178

Add IQ4_XS after text embedding smoke pass

Browse files

Files changed (5) hide show

.gitattributes +1 -0
EmbeddingGemma-2-IQ4_XS.gguf +3 -0
SHA256SUMS.txt +1 -0
reproducibility/artifact-measurements.tsv +1 -0
reproducibility/manifest.md +8 -0

.gitattributes CHANGED Viewed

@@ -48,3 +48,4 @@ EmbeddingGemma-2-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text

 EmbeddingGemma-2-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+EmbeddingGemma-2-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

EmbeddingGemma-2-IQ4_XS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:96db13a1041a7ef09bf0ca3a7e582b3331dae326a3aca9898a93f257979af427
+size 169382528

SHA256SUMS.txt CHANGED Viewed

@@ -1,5 +1,6 @@
 a7788cc0daf653026d9762fc90e351763e472427cb2ac9eef1cdb3d89538057a  EmbeddingGemma-2-IQ1_M.gguf
 c4e59a215a94e4ab077e1a10c43df85ab1c63addc8fdf5515a5ee9b99c8a15f4  EmbeddingGemma-2-IQ2_XS.gguf
 4953a59ae0d8a725052407f458101ef81d8acb6a95f3293f4949ff3f594ef18a  EmbeddingGemma-2-Q1_0.gguf
 67124cbba678cce4664bf9af72839a88ab12a9083821545c56847f41a54e96a1  EmbeddingGemma-2-Q2_K.gguf
 35cb1027140ea72970fc227553464cb901d581d658670f707ed4637564e1de48  EmbeddingGemma-2-Q2_K_S.gguf

 a7788cc0daf653026d9762fc90e351763e472427cb2ac9eef1cdb3d89538057a  EmbeddingGemma-2-IQ1_M.gguf
 c4e59a215a94e4ab077e1a10c43df85ab1c63addc8fdf5515a5ee9b99c8a15f4  EmbeddingGemma-2-IQ2_XS.gguf
+96db13a1041a7ef09bf0ca3a7e582b3331dae326a3aca9898a93f257979af427  EmbeddingGemma-2-IQ4_XS.gguf
 4953a59ae0d8a725052407f458101ef81d8acb6a95f3293f4949ff3f594ef18a  EmbeddingGemma-2-Q1_0.gguf
 67124cbba678cce4664bf9af72839a88ab12a9083821545c56847f41a54e96a1  EmbeddingGemma-2-Q2_K.gguf
 35cb1027140ea72970fc227553464cb901d581d658670f707ed4637564e1de48  EmbeddingGemma-2-Q2_K_S.gguf

reproducibility/artifact-measurements.tsv CHANGED Viewed

@@ -14,3 +14,4 @@ EmbeddingGemma-2-Q4_K_S.gguf	178164352	0.178164	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-Q3_K_S.gguf	142545536	0.142546	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-Q3_K_L.gguf	154440320	0.154440	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-Q2_K_S.gguf	116445824	0.116446	PASS_EMBEDDING_CPU

 EmbeddingGemma-2-Q3_K_S.gguf	142545536	0.142546	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-Q3_K_L.gguf	154440320	0.154440	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-Q2_K_S.gguf	116445824	0.116446	PASS_EMBEDDING_CPU
+EmbeddingGemma-2-IQ4_XS.gguf	169382528	0.169383	PASS_EMBEDDING_CPU

reproducibility/manifest.md CHANGED Viewed

@@ -144,3 +144,11 @@ The fixed task evaluation uses the full MTEB STSBenchmark `test` split and the u
 - Quantization command: `llama-quantize --imatrix calibration/embeddinggemma-2/embeddinggemma-2-sts.imatrix.gguf embeddinggemma-2-text-BF16.gguf EmbeddingGemma-2-Q2_K_S.gguf Q2_K_S 8`.
 - CPU `llama-server --embedding --pooling mean -ngl 0` smoke passed with finite normalized 768-dimensional text vectors.
 - Build cgroup: `MemoryMax=32G`, `MemorySwapMax=0`; peak memory `829026304` bytes and swap peak `0` bytes.

 - Quantization command: `llama-quantize --imatrix calibration/embeddinggemma-2/embeddinggemma-2-sts.imatrix.gguf embeddinggemma-2-text-BF16.gguf EmbeddingGemma-2-Q2_K_S.gguf Q2_K_S 8`.
 - CPU `llama-server --embedding --pooling mean -ngl 0` smoke passed with finite normalized 768-dimensional text vectors.
 - Build cgroup: `MemoryMax=32G`, `MemorySwapMax=0`; peak memory `829026304` bytes and swap peak `0` bytes.
+- Q2_K_S public Hub commit: `b20f17841e3fec9a6f99b02f91e8d9adbf951990`; remote LFS SHA256 and size match the local file.
+## Incremental experiment: IQ4_XS
+- Artifact: `EmbeddingGemma-2-IQ4_XS.gguf`; SHA256 `96db13a1041a7ef09bf0ca3a7e582b3331dae326a3aca9898a93f257979af427`; decimal size `0.169383 GB`.
+- Quantization command: `llama-quantize --imatrix calibration/embeddinggemma-2/embeddinggemma-2-sts.imatrix.gguf embeddinggemma-2-text-BF16.gguf EmbeddingGemma-2-IQ4_XS.gguf IQ4_XS 8`.
+- CPU `llama-server --embedding --pooling mean -ngl 0` smoke passed with finite normalized 768-dimensional text vectors.
+- Build cgroup: `MemoryMax=32G`, `MemorySwapMax=0`; peak memory `911089664` bytes and swap peak `0` bytes.