Model
Model explorer
Llama 2 7B
OPENMeta · Llama 2 family · released Jul 18, 2023
Compact Llama 2 base model with 2T-token pretraining and a 4K context window, commercially licensed unlike its LLaMA 1 predecessor.
ReasoningCodingVisionFunction callingTool useAgentic
-121.8
Elo · rank #414
Parameters
6.7B
Active params
6.7B (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: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
best: Llama 3.1 70B · 77.1%
best: OpenAI o3 · 92.9%
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
6.6 GB
VRAM @ FP16
13.5 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 verifiably-sourced Llama-2-7B-base-specific RTX 4090 llama.cpp benchmark was found; only Llama 2 13B (chat) had a confirmed on-topic measurement.
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)