BAAI/Dense

Bbge-large-en-v1.5 335M

chat
0.335B
Parameters
1K
Context length
1
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2024-02-10
Layers
24
KV Heads
16
Head Dim
64
Family
embedding

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.890.7 GBgood
Q5_K_S5.570.7 GBgood
Q5_K_M5.70.7 GBgood
Q6_K6.560.8 GBexcellent
Q8_08.50.8 GBlossless
FP16161.2 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

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Benchmarks (1)

MMLU-PRO62.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run embedding:0b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

Find the best GPU for bge-large-en-v1.5 335M

Build Hardware for bge-large-en-v1.5 335M
▸ SPEC SHEET

bge-large-en-v1.5 335M0.335B Dense.

▸ SPECIFICATIONS
PARAMETERS
0.335B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
1K tokens
CAPABILITIES
chat
RELEASE DATE
2024-02-10
PROVIDER
BAAI
FAMILY
embedding
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.890.7 GB94%
Q5_K_S5.570.7 GB96%
Q5_K_M5.70.7 GB96%
Q6_K6.560.8 GB97%
Q8_08.50.8 GB100%
FP16161.2 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO62.3
§ 02RUN COMMAND

Run bge-large-en-v1.5 335M locally with Ollama — needs 0.7 GB VRAM at Q4_K_M:

$ollama run embedding:0b