Quantization made by Richard Erkhov.

llmc-gpt2-774M-150B - EXL2

| Branch | Bits | Description | | ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ | | 8_0 | 8.0 | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | | 6_5 | 6.5 | Very similar to 8.0, good tradeoff of size vs performance, recommended. | | 5_0 | 5.0 | Slightly lower quality vs 6.5, but usable on 8GB cards. | | 4_25 | 4.25 | GPTQ equivalent bits per weight, slightly higher quality. | | 3_5 | 3.5 | Lower quality, only use if you have to. |

With git:

With huggingface hub:

To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch: Linux:

Windows (which apparently doesn't like _ in folders sometimes?):

license: mit datasets:

This is a HF/safetensors conversion of the llm.c checkpoint of a 774M parameter run on 150B tokens from FineWeb.

Training was conducted on a single 8xA100 80GB SXM node for ~6 days.

See discussion on GitHub for more information.