codellama / text-generation updated 2 years ago

CodeLlama-7b-hf

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the base 7B version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.

Params
6.7 B
Context
16,384
Downloads 30d
356 K
Likes
377
Commercial use: conditional · llama2 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
356 K238 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.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors bf16 13.5 GB 16.3 GB ✅ Runs comfortably
model.safetensors (bf16, full) bf16 + 16K ctx 13.5 GB 17.3 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/codellama-7b-hf
{
  "hf_id": "codellama/CodeLlama-7b-hf",
  "params_b": 6.74,
  "context_length": 16384,
  "license": { "id": "llama2", "commercial": "conditional" },
  "downloads_30d": 355998,
  "vram_estimates": [
    { "quant": "bf16", "gb": 16.3 }
  ],
  "updated_at": "2026-07-28T18:07:27Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
LlamaForCausalLM
Parameters
6.7 B
Tensor type
BF16
Context length
16,384
Vocabulary
32,016
Layers / heads
32 / 32
Licence
llama2
First seen on the Hub
2023-08-24
Training datasets
undisclosed
Added to our catalog
2026-07-28