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

1874243

verified ·

1 Parent(s): 8dbeabb

Add TQ1_0 after embedding smoke pass

Browse files

Files changed (5) hide show

.gitattributes +1 -0
EmbeddingGemma-2-TQ1_0.gguf +3 -0
SHA256SUMS.txt +1 -0
reproducibility/artifact-measurements.tsv +1 -0
reproducibility/manifest.md +8 -0

.gitattributes CHANGED Viewed

@@ -58,3 +58,4 @@ EmbeddingGemma-2-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text

 EmbeddingGemma-2-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
 EmbeddingGemma-2-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
+EmbeddingGemma-2-TQ1_0.gguf filter=lfs diff=lfs merge=lfs -text

EmbeddingGemma-2-TQ1_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:a55f16a919b1e31c9bd15ca957167b57437d9d91efc6bd5badb8980e294f6a1c
+size 131928704

SHA256SUMS.txt CHANGED Viewed

@@ -22,4 +22,5 @@ ea25550b050fa8826707c5e44659a7c18259606dcc6ba449f771e3c75cf4e663  EmbeddingGemma
 0c0dc8e88bc69c720f997ea1dd9cf4a57bbbccaecfa85925455a6608654d2d81  EmbeddingGemma-2-Q5_K_S.gguf
 21693ca41877ffb20727763e167c503b0467eac4ccef51551230d72c2afcd37e  EmbeddingGemma-2-Q6_K.gguf
 eec0ccc2e76aa85b415651e869c25e476279d6b7d1985533c8296f13989efa10  EmbeddingGemma-2-Q8_0.gguf
 b663b6822d1f2d641acc54fc0adfc143b630b7ac87ec54fd60888f325071a0de  mmproj-EmbeddingGemma-2-BF16.gguf

 0c0dc8e88bc69c720f997ea1dd9cf4a57bbbccaecfa85925455a6608654d2d81  EmbeddingGemma-2-Q5_K_S.gguf
 21693ca41877ffb20727763e167c503b0467eac4ccef51551230d72c2afcd37e  EmbeddingGemma-2-Q6_K.gguf
 eec0ccc2e76aa85b415651e869c25e476279d6b7d1985533c8296f13989efa10  EmbeddingGemma-2-Q8_0.gguf
+a55f16a919b1e31c9bd15ca957167b57437d9d91efc6bd5badb8980e294f6a1c  EmbeddingGemma-2-TQ1_0.gguf
 b663b6822d1f2d641acc54fc0adfc143b630b7ac87ec54fd60888f325071a0de  mmproj-EmbeddingGemma-2-BF16.gguf

reproducibility/artifact-measurements.tsv CHANGED Viewed

@@ -24,3 +24,4 @@ EmbeddingGemma-2-IQ2_XXS.gguf	107177600	0.107178	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-IQ2_S.gguf	127600256	0.127600	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-IQ2_M.gguf	130909824	0.130910	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-IQ1_S.gguf	100558464	0.100558	PASS_EMBEDDING_CPU

 EmbeddingGemma-2-IQ2_S.gguf	127600256	0.127600	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-IQ2_M.gguf	130909824	0.130910	PASS_EMBEDDING_CPU
 EmbeddingGemma-2-IQ1_S.gguf	100558464	0.100558	PASS_EMBEDDING_CPU
+EmbeddingGemma-2-TQ1_0.gguf	131928704	0.131929	PASS_EMBEDDING_CPU

reproducibility/manifest.md CHANGED Viewed

@@ -224,3 +224,11 @@ 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-IQ1_S.gguf IQ1_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 `842952704` 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-IQ1_S.gguf IQ1_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 `842952704` bytes and swap peak `0` bytes.
+- IQ1_S public Hub commit: `8dbeabbbe21be49508f4fd940a2308fd2af1009b`; remote LFS SHA256 and size match the local file.
+## Incremental experiment: TQ1_0
+- Artifact: `EmbeddingGemma-2-TQ1_0.gguf`; SHA256 `a55f16a919b1e31c9bd15ca957167b57437d9d91efc6bd5badb8980e294f6a1c`; decimal size `0.131929 GB`.
+- Quantization command: `llama-quantize --imatrix calibration/embeddinggemma-2/embeddinggemma-2-sts.imatrix.gguf embeddinggemma-2-text-BF16.gguf EmbeddingGemma-2-TQ1_0.gguf TQ1_0 8`.
+- CPU `llama-server --embedding --pooling mean -ngl 0` smoke passed with finite normalized 768-dimensional text vectors. This is a runtime smoke result, not a quality result.
+- Build cgroup: `MemoryMax=32G`, `MemorySwapMax=0`; peak memory `875728896` bytes and swap peak `0` bytes.