llama-7b
This contains the weights for the LLaMA-7b model. This model is under a non-commercial license (see the LICENSE file). You should only use this repository if you have been granted access to the model by filling out this form but either lost your copy of the weights or got some trouble converting them to the Transformers format.
Params
6.7 B
Context
2,048
Downloads 30d
237 K
Likes
360
Download history
daily snapshots · 55 days
▲ 39 K in the last 30 days (14.1%)
274 K199 K
Aug 22Sep 1Sep 11Sep 20
303 K199 K
Jul 28Aug 15Sep 2Sep 20
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 -s https://aimodelscomparison.com/api/v1/models/llama-7b
{
"hf_id": "huggyllama/llama-7b",
"params_b": 6.74,
"context_length": 2048,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 237369,
"vram_estimates": [
{ "quant": "f16", "gb": 16.3 }
],
"updated_at": "2026-07-28T18:06:36Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 6.7 B
- Tensor type
- F16
- Context length
- 2,048
- Vocabulary
- 32,000
- Layers / heads
- 32 / 32
- Licence
- other
- First seen on the Hub
- 2023-04-03
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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