StarCoder2 7B

bigcode/starcoder2-7b

Parameters

7B

Context

16K

Downloads

14.4K

Likes

222

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
21.4 GB
RAM 32.2 · Disk 59.3
37.9 GB
RAM 56.9 · Disk 85.3
135.6 GB
RAM 203.4 · Disk 124.3
FP88bit
13.2 GB
RAM 32.0 · Disk 49.2
29.3 GB
RAM 44.0 · Disk 75.2
126.6 GB
RAM 189.9 · Disk 114.2
INT88bit
13.2 GB
RAM 32.0 · Disk 49.2
29.3 GB
RAM 44.0 · Disk 75.2
126.6 GB
RAM 189.9 · Disk 114.2
AWQ4bit
9.2 GB
RAM 32.0 · Disk 44.3
25.2 GB
RAM 37.8 · Disk 70.3
122.3 GB
RAM 183.4 · Disk 109.3
GPTQ4bit
9.3 GB
RAM 32.0 · Disk 44.3
25.2 GB
RAM 37.8 · Disk 70.3
122.3 GB
RAM 183.5 · Disk 109.3
GGUF4bit
9.4 GB
RAM 32.0 · Disk 44.5
25.3 GB
RAM 38.0 · Disk 70.5
122.4 GB
RAM 183.7 · Disk 109.5

GPU Recommendations

Best ValueBEST

1× RTX 5090

32 GB VRAM

$235/mo

≈ 530.2 tok/s

Effective production throughput ≈ 371.1 tok/s

score 0.6881

Deploy on vast ↗
Cheapest

2× Tesla V100

32 GB VRAM

$39.7/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.6369

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 4544.4 tok/s

Effective production throughput ≈ 3181.1 tok/s

score 0.2197

Min Complexity

1× RTX A6000

48 GB VRAM

$219/mo

≈ 227.2 tok/s

Effective production throughput ≈ 159 tok/s

score 0.6308

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX A6000

48 GB VRAM

$219

/mo · vast

RTX 5090

32 GB VRAM

$235

/mo · vast

L40S

48 GB VRAM

$341

/mo · vast

RTX PRO 6000 WS

48 GB VRAM

$586

/mo · vast

RTX PRO 6000 S

48 GB VRAM

$740

/mo · vast

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