DeepSeek: R1 Distill Llama 70B

DeepSeek: R1 Distill Llama 70B is DeepSeek's model, and its measured tokenizer sits in DeepSeek's own signature group alongside its sibling models. Measured models from StepFun carry the same vocabulary, which reads as reuse of DeepSeek's tokenizer line and questions nobody's authorship; they are listed under "Shares this fingerprint" below.

The mismatch was traced to the serving layer, not the label. The model's own repository tokenizer, run over the same 50 strings offline, is Llama 3's exactly (50 of 50, vocabulary 128,256), so the catalogue's Llama3 tag is right about the weights. The endpoint's reported token counts tell a different story: they match DeepSeek-V3's repository tokenizer on every string once the template boundary is folded, and the model's own tokenizer on only 18 of 50. The token accounting behind this endpoint uses a DeepSeek vocabulary the model does not read with, which sets what users are billed. Whether that is a billing-side tokenizer configuration or something else about the serving path cannot be established from token counts alone.

DeepSeek-R1-Distill-Llama-70B repository (config.json: vocab_size 128256, LlamaForCausalLM)DeepSeek-V3 repository (config.json: vocab_size 129280)