Model
Model explorer
Llama 2 13B
OPENMeta · Llama 2 family · released Jul 18, 2023
Mid-size Llama 2 base model, pretrained on 2T tokens with a 4K context window and the first commercially-licensed Llama generation.
ReasoningCodingVisionFunction callingTool useAgentic
69.7
Elo · rank #394
Parameters
13B
Active params
13B (dense)
Context
4K tokens
Architecture
Dense decoder-only Transformer
License
Llama 2 Community License Agreement
Languages
—
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: OLMo 3-Think 32B · 88.2%
best: Llama 3.1 405B · 96.9%
best: Phi-3-medium (14B) · 97.7%
best: ERNIE 4.5 300B-A47B · 94.3%
best: Llama 3.1 405B · 96.8%
best: Claude 3 Opus · 95.4%
best: Claude Opus 4.5 · 99.4%
best: GPT-5 · 99.4%
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
best: OpenAI o3 · 92.9%
best: Claude 1 · 90.8%
best: GPT-4o mini · 93.1%
best: Apple DCLM-Baseline 7B · 82.9%
best: Sarvam-1 (2B) · 90.6%
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
10 GB
VRAM @ FP16
26 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
No verified base-model-specific RTX 4090 figure; the widely-cited ~71 tok/s Ollama benchmark for 'llama2:13b' targets Ollama's default chat-tuned weights, not this base checkpoint.
Quantizations
GGUF · GPTQ · AWQ · GGML
Llama 2 family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)