CodeLlama 7B
codellama/CodeLlama-7b-hf
Parameters
7B
Context
16K
Downloads
474.8K
Likes
377
Architecture
transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| 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
1× RTX 5090
32 GB VRAM
≈ 530.2 tok/s
Effective production throughput ≈ 371.1 tok/s
score 0.6881
2× Tesla V100
32 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.6369
8× H200 SXM
1128 GB VRAM
≈ 4544.4 tok/s
Effective production throughput ≈ 3181.1 tok/s
score 0.2197
1× RTX A6000
48 GB VRAM
≈ 227.2 tok/s
Effective production throughput ≈ 159 tok/s
score 0.6309
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
RTX A6000
48 GB VRAM
$210
/mo · vast
RTX 5090
32 GB VRAM
$236
/mo · vast
L40S
48 GB VRAM
$341
/mo · vast
RTX PRO 6000 WS
48 GB VRAM
$482
/mo · vast
RTX PRO 6000 S
48 GB VRAM
$633
/mo · vast