FitMyLLM
Snowflake/Dense

SArctic-Text2SQL-R1 7B

Arctic-Text2SQL-R1-7B is a 7-billion-parameter Text-to-SQL model fine-tuned using Group Relative Policy Optimization (GRPO) with a simple execution-based reward signal. It converts natural language questions into executable SQL queries.

codingreasoning
7.62B
Parameters
32K
Context length
6
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2025-05-20
Layers
28
KV Heads
4
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
5.8 GB
5.1 + 0.7 KV
good
Q5_K_S5.57
6.5 GB
5.8 + 0.7 KV
good
Q5_K_M5.7
6.6 GB
5.9 + 0.7 KV
good
Q6_K6.56
7.4 GB
6.7 + 0.7 KV
excellent
Q8_08.5
9.2 GB
8.6 + 0.7 KV
lossless
FP1616
16.4 GB
15.7 + 0.7 KV
lossless

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

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Community Ratings

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Benchmarks (6)

IFEval68.6
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 other:8b-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 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 Arctic-Text2SQL-R1 7B

Build Hardware for Arctic-Text2SQL-R1 7B
▸ SPEC SHEET

Arctic-Text2SQL-R1 7B7.62B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.62B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
coding, reasoning
RELEASE DATE
2025-05-20
PROVIDER
Snowflake
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.1 GB94%
Q5_K_S5.575.8 GB96%
Q5_K_M5.75.9 GB96%
Q6_K6.566.7 GB97%
Q8_08.58.6 GB100%
FP161615.7 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO28.8
MATH15.2
IFEval68.6
BBH31.9
GPQA5.3
MUSR6.6
§ 03COMPATIBLE GPUs
30 @ Q4_K_M