Instructions to use fedric95/gemma-2-2b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fedric95/gemma-2-2b-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="fedric95/gemma-2-2b-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("fedric95/gemma-2-2b-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use fedric95/gemma-2-2b-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 fedric95/gemma-2-2b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf fedric95/gemma-2-2b-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 fedric95/gemma-2-2b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf fedric95/gemma-2-2b-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 fedric95/gemma-2-2b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf fedric95/gemma-2-2b-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 fedric95/gemma-2-2b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf fedric95/gemma-2-2b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/fedric95/gemma-2-2b-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use fedric95/gemma-2-2b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "fedric95/gemma-2-2b-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fedric95/gemma-2-2b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/fedric95/gemma-2-2b-GGUF:Q4_K_M

SGLang

How to use fedric95/gemma-2-2b-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "fedric95/gemma-2-2b-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fedric95/gemma-2-2b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "fedric95/gemma-2-2b-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fedric95/gemma-2-2b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use fedric95/gemma-2-2b-GGUF with Ollama:
```
ollama run hf.co/fedric95/gemma-2-2b-GGUF:Q4_K_M
```

Unsloth Studio

How to use fedric95/gemma-2-2b-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for fedric95/gemma-2-2b-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for fedric95/gemma-2-2b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for fedric95/gemma-2-2b-GGUF to start chatting

Docker Model Runner
How to use fedric95/gemma-2-2b-GGUF with Docker Model Runner:
```
docker model run hf.co/fedric95/gemma-2-2b-GGUF:Q4_K_M
```

Lemonade

How to use fedric95/gemma-2-2b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull fedric95/gemma-2-2b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gemma-2-2b-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

fedric95 commited on Aug 31, 2024

Commit

fd9faf7

verified ·

1 Parent(s): 3f3059b

Upload ./gemma-2-2b-Q2_K.mmlu.txt with huggingface_hub

Browse files

Files changed (1) hide show

gemma-2-2b-Q2_K.mmlu.txt +1558 -0

gemma-2-2b-Q2_K.mmlu.txt ADDED Viewed

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+1313	31.53084539
+1314	31.50684932
+1315	31.55893536
+1316	31.61094225
+1317	31.66287016
+1318	31.63884674
+1319	31.61485974
+1320	31.59090909
+1321	31.56699470
+1322	31.54311649
+1323	31.59486017
+1324	31.57099698
+1325	31.62264151
+1326	31.59879336
+1327	31.65033911
+1328	31.62650602
+1329	31.60270880
+1330	31.57894737
+1331	31.55522164
+1332	31.60660661
+1333	31.65791448
+1334	31.63418291
+1335	31.68539326
+1336	31.73652695
+1337	31.78758414
+1338	31.76382661
+1339	31.81478715
+1340	31.86567164
+1341	31.84190902
+1342	31.81818182
+1343	31.79448995
+1344	31.77083333
+1345	31.82156134
+1346	31.87221397
+1347	31.92279139
+1348	31.89910979
+1349	31.87546331
+1350	31.85185185
+1351	31.82827535
+1352	31.80473373
+1353	31.78122690
+1354	31.75775480
+1355	31.80811808
+1356	31.85840708
+1357	31.90862196
+1358	31.95876289
+1359	31.93524650
+1360	31.91176471
+1361	31.88831741
+1362	31.86490455
+1363	31.84152605
+1364	31.89149560
+1365	31.86813187
+1366	31.91800878
+1367	31.96781273
+1368	31.94444444
+1369	31.99415632
+1370	32.04379562
+1371	32.09336251
+1372	32.06997085
+1373	32.04661326
+1374	32.02328967
+1375	32.00000000
+1376	32.04941860
+1377	32.09876543
+1378	32.14804064
+1379	32.12472806
+1380	32.10144928
+1381	32.07820420
+1382	32.05499276
+1383	32.10412148
+1384	32.15317919
+1385	32.12996390
+1386	32.17893218
+1387	32.15573180
+1388	32.13256484
+1389	32.18142549
+1390	32.23021583
+1391	32.27893602
+1392	32.25574713
+1393	32.23259153
+1394	32.20946915
+1395	32.18637993
+1396	32.16332378
+1397	32.21188261
+1398	32.26037196
+1399	32.30879199
+1400	32.35714286
+1401	32.33404711
+1402	32.31098431
+1403	32.28795438
+1404	32.26495726
+1405	32.24199288
+1406	32.21906117
+1407	32.26723525
+1408	32.31534091
+1409	32.29240596
+1410	32.34042553
+1411	32.38837704
+1412	32.36543909
+1413	32.34253362
+1414	32.31966054
+1415	32.36749117
+1416	32.41525424
+1417	32.39237826
+1418	32.44005642
+1419	32.48766737
+1420	32.46478873
+1421	32.51231527
+1422	32.48945148
+1423	32.46661982
+1424	32.44382022
+1425	32.42105263
+1426	32.46844320
+1427	32.44569026
+1428	32.42296919
+1429	32.40027992
+1430	32.37762238
+1431	32.35499651
+1432	32.40223464
+1433	32.37962317
+1434	32.42677824
+1435	32.40418118
+1436	32.38161560
+1437	32.35908142
+1438	32.40611961
+1439	32.45309243
+1440	32.50000000
+1441	32.47744622
+1442	32.52427184
+1443	32.50173250
+1444	32.54847645
+1445	32.59515571
+1446	32.57261411
+1447	32.61921216
+1448	32.59668508
+1449	32.64320221
+1450	32.62068966
+1451	32.59820813
+1452	32.64462810
+1453	32.62216105
+1454	32.59972490
+1455	32.64604811
+1456	32.69230769
+1457	32.66986960
+1458	32.64746228
+1459	32.69362577
+1460	32.73972603
+1461	32.78576318
+1462	32.83173735
+1463	32.80929597
+1464	32.85519126
+1465	32.83276451
+1466	32.81036835
+1467	32.85616905
+1468	32.83378747
+1469	32.87950987
+1470	32.85714286
+1471	32.83480625
+1472	32.81250000
+1473	32.79022403
+1474	32.83582090
+1475	32.81355932
+1476	32.85907859
+1477	32.83683142
+1478	32.88227334
+1479	32.86004057
+1480	32.83783784
+1481	32.88318704
+1482	32.92847503
+1483	32.90627107
+1484	32.88409704
+1485	32.92929293
+1486	32.97442799
+1487	33.01950235
+1488	33.06451613
+1489	33.04231028
+1490	33.08724832
+1491	33.13212609
+1492	33.17694370
+1493	33.15472204
+1494	33.19946452
+1495	33.17725753
+1496	33.15508021
+1497	33.19973280
+1498	33.24432577
+1499	33.22214810
+1500	33.20000000
+1501	33.17788141
+1502	33.15579228
+1503	33.20026613
+1504	33.24468085
+1505	33.22259136
+1506	33.26693227
+1507	33.24485733
+1508	33.22281167
+1509	33.20079523
+1510	33.24503311
+1511	33.22303111
+1512	33.20105820
+1513	33.17911434
+1514	33.15719947
+1515	33.20132013
+1516	33.17941953
+1517	33.15754779
+1518	33.13570487
+1519	33.17972350
+1520	33.15789474
+1521	33.13609467
+1522	33.11432326
+1523	33.09258043
+1524	33.07086614
+1525	33.04918033
+1526	33.09305374
+1527	33.13686968
+1528	33.11518325
+1529	33.09352518
+1530	33.07189542
+1531	33.05029393
+1532	33.09399478
+1533	33.07240705
+1534	33.05084746
+1535	33.02931596
+1536	33.00781250
+1537	33.05139883
+1538	33.02990897
+1539	33.07342430
+1540	33.11688312
+1541	33.16028553
+1542	33.13878080
+1543	33.11730395
+1544	33.09585492
+1545	33.07443366
+1546	33.11772316
+1547	33.09631545
+1548	33.07493540
+ Final result: 33.0749 +/- 1.1962
+Random chance: 25.0000 +/- 1.1009