FitMyLLM
OpenChat/Dense

OOpenChat 3.5 7B

OpenChat 3.5 — fine-tuned on mixed-quality data, punches above its weight.

chatThinking
7.24B
Parameters
8K
Context length
8
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2023-11-01
Layers
32
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 8KQuality
Q4_K_M4.89
5.4 GB
4.9 + 0.5 KV
good
Q5_K_S5.57
6.0 GB
5.5 + 0.5 KV
good
Q5_K_M5.7
6.1 GB
5.6 + 0.5 KV
good
Q6_K6.56
6.9 GB
6.4 + 0.5 KV
excellent
Q8_08.5
8.7 GB
8.2 + 0.5 KV
lossless
FP1616
15.5 GB
15.0 + 0.5 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN OPENCHAT 3.5 7B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

Loading ratings...

Benchmarks (8)

IFEval68.6
HumanEval67.7
MBPP54.5
BBH31.9
MMLU-PRO28.8
MATH15.2
MUSR6.6
GPQA5.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run openchat:7b-v3.5-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.

NVIDIA Tesla K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for OpenChat 3.5 7B

Build Hardware for OpenChat 3.5 7B

OpenChat 3.5 — fine-tuned on mixed-quality data, punches above its weight.

▸ SPEC SHEET

OpenChat 3.5 7B7.24B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.24B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
8K tokens
CAPABILITIES
chat
RELEASE DATE
2023-11-01
PROVIDER
OpenChat
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.9 GB94%
Q5_K_S5.575.5 GB96%
Q5_K_M5.75.6 GB96%
Q6_K6.566.4 GB97%
Q8_08.58.2 GB100%
FP161615.0 GB100%
§ 01BENCHMARK SCORES
HumanEval67.7
MMLU-PRO28.8
MATH15.2
IFEval68.6
BBH31.9
GPQA5.3
MUSR6.6
MBPP54.5
§ 02RUN COMMAND

Run OpenChat 3.5 7B locally with Ollama — needs 4.9 GB VRAM at Q4_K_M:

$ollama run openchat:7b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M