INFLY/Dense

IOpenCoder 1.5B Instruct

&nbsp&nbsp 🤗 Model&nbsp&nbsp | &nbsp&nbsp 📊 Dataset&nbsp&nbsp |

coding
1.5B
Parameters
4K
Context length
4
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2024-11-08
Layers
24
KV Heads
14
Head Dim
160
Family
other

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.891.4 GBgood
Q5_K_S5.571.5 GBgood
Q5_K_M5.71.6 GBgood
Q6_K6.561.7 GBexcellent
Q8_08.52.1 GBlossless
FP16163.5 GBlossless

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

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN OPENCODER 1.5B INSTRUCT NOW

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Community Ratings

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Benchmarks (4)

MBPP72.7
HumanEval72.5
BigCodeBench33.3
LiveCodeBench12.8

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:2b-q4_K_M

Tag may need adjustment — check ollama.com/library/other for available tags.

▸ 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.

NVIDIA Tesla C870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla D870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla S870
2 GB VRAM • 76.8 GB/s
NVIDIA

Find the best GPU for OpenCoder 1.5B Instruct

Build Hardware for OpenCoder 1.5B Instruct
▸ SPEC SHEET

OpenCoder 1.5B Instruct1.5B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.5B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
coding
RELEASE DATE
2024-11-08
PROVIDER
INFLY
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.4 GB94%
Q5_K_S5.571.5 GB96%
Q5_K_M5.71.6 GB96%
Q6_K6.561.7 GB97%
Q8_08.52.1 GB100%
FP16163.5 GB100%
§ 01BENCHMARK SCORES
HumanEval72.5
MBPP72.7
BigCodeBench33.3
LiveCodeBench12.8