32 GB VRAM · Q4 native Amazon
RTX 5090
Vorteile
- Runs CodeLlama 34B at Q4 natively
- 32 GB VRAM — adequate headroom
Local Engine Ready
CodeLlama 34B
10 consumer GPUs can run CodeLlama 34B at Q4 natively. Precise VRAM thresholds and benchmarks below.
10 Compatible GPUs
19 with offloading
34B params
16K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 16K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Meta
LICENSE llama-2-community
VRAM REQUIREMENT
19 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision
This model requires aHigh-end GPU (24 GB VRAM)
Compatible GPUs for CodeLlama 34B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Vorteile
- Runs CodeLlama 34B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Vorteile
- Runs CodeLlama 34B at Q4 natively
- 128 GB VRAM — adequate headroom
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
How to run this model
Check if your GPU can run CodeLlama 34B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 19 GB High-end GPU
System RAM 29 GB
32 GB recommended
Storage 19 GB Q4 · SSD recommended
CPU Any modern CPU GPU required
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 68 GB | 68 GB | Maximum |
| Q8 (high quality) | 34 GB | 34 GB | Near-lossless |
| Q4 (recommended) Best balance | 19 GB | 19 GB | Recommended |
| Q2 (minimum) | 10 GB | 10 GB | Quality loss |
Model Details
| Developer | Meta |
| Parameters | 34B |
| Context window | 16,384 tokens |
| License | llama-2-community |
| Use cases | coding, chat |
| Released | 2023-08 |
Install with Ollama
ollama run codellama:34b Hugging Face
codellama/CodeLlama-34b-Instruct-hf Technical Requirements
Can your GPU run CodeLlama 34B?
CodeLlama 34B requires <strong class="text-primary-container">19 GB VRAM</strong> at Q4. 10 consumer GPUs meet this threshold. Below 8 GB or 17 GB you'll hit significant offload latency.
10GB Critical min
19GB Optimal Q4
34GB High Quality Q8
68GB Max FP16
Hardware Performance Matrix
10 Q4 native · 19 offload
Recommended GPUs for CodeLlama 34B
Reale Benchmarks
Keine bezahlten Reviews
Redaktionelle Auswahl
Datenbasiert
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
CodeLlama 34B — Compatibility guide
CodeLlama 34B requires a high-end GPU like the RTX 4090 or a Mac with M2 Ultra or better. The Q4 version needs 19 GB VRAM. Check the VRAM calculator for your options.
Compare GPUs for CodeLlama 34B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run CodeLlama 34B at Q4 — sorted by AI performance score.
Reale Benchmarks
Keine bezahlten Reviews
Datenbasiert
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
More Practical Alternatives
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Not sure which GPU you need for CodeLlama 34B?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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