NousResearch / text-generation updated 2 years ago

Llama-2-7b-hf

Name: Llama-2-7b-hf
Author: NousResearch

Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.

Params

6.7 B

Context

4,096

Downloads 30d

335 K

Likes

176

Licence: unknown Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

335 K309 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f16	13.5 GB	16.3 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/llama-2-7b-hf-nousresearch
{
  "hf_id": "NousResearch/Llama-2-7b-hf",
  "params_b": 6.74,
  "context_length": 4096,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 335067,
  "vram_estimates": [
    { "quant": "f16", "gb": 16.3 }
  ],
  "updated_at": "2026-07-28T18:06:24Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: LlamaForCausalLM
Parameters: 6.7 B
Tensor type: F16
Context length: 4,096
Vocabulary: 32,000
Layers / heads: 32 / 32
First seen on the Hub: 2023-07-18
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M Llama-3.1-8B-Instruct 8.0 M Qwen2.5-7B-Instruct-AWQ 4.6 M granite-4.1-8b 4.2 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB