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| Detail | Value |
|---|---|
| Base model | arcee-ai/Llama-Spark |
| Architecture | Llama 3.1 (8B parameters) |
| Quantization | FP8 (8-bit floating point) |
| Model size | ~11 GB (3 shards) |
| Format | Safetensors |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained(
4 "juliensimon/Llama-Spark-fp8", torch_dtype="auto", device_map="auto"
5)
6tokenizer = AutoTokenizer.from_pretrained("juliensimon/Llama-Spark-fp8")