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DeepSeek-R1-Distill-Llama-70B (2025)

DeepSeek-R1-Distill-Llama-70B is a large language model released by DeepSeek, released under the mit license, with a claimed knowledge cutoff of 2025-01-20. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.

Description

DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1 to transfer R1's reasoning behavior into a smaller, cheaper-to-serve dense checkpoint via advanced distillation techniques.

Metadata

Type
LLM
Issuer
DeepSeek
License
mit
Size
131.42 GB
Knowledge cutoff
2025-01-20
Source
https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B
Revision
b1c0b44b4369b597ad119a196caf79a9c40e141e

Hugging Face stats

75,351 downloads on Hugging Face · 808 likes · pipeline: text-generation · library: transformers

transformerssafetensorsllamatext-generationconversationaltext-generation-inferenceendpoints_compatible

Weight Hashes

Weights file
17 shards (Merkle root) · 131.42 GB
SHA-25694c26771e7d012df3916486dc70961de2c8f9115987a8ba762d0e42802f452b8
SHA3-256224dcf2a2c8b434a39465782042b636e326f8809da94444ba570d4116c16187c
BLAKE3730c7a0bc5762ba6e59d38fe36aa4fc01c38c75106bb06c3f959f03726b1af59
Config file
config.json · 879 B
SHA-25695ef9768e4741543dbfaf0c274f101855883ff338b235c99eca2b6a4f4abee12
SHA3-256375b32f30d44a2bb1c64db7e0dad8ceeb0c21850b94cec706394158ae3194f7a
BLAKE34684285dad94b5c210c786d0d8837e99a45ec1d44d8d4f4b1a3631daf9094eef
Tokenizer file
tokenizer.json · 8.66 MB
SHA-256b9c9eb63a8e03059914880f918cd28a880dec8b6e15e4461e1ff677e3743dbb8
SHA3-256b35ba10cf61bdf434079920fdedb727bc0e3663b7e180063de96c542c61dee52
BLAKE3c61f943c9f3266a60a7e00e815591061f17564f297dd84433a101fb43eb15608

Verify it yourself

Download the file(s) from the source below, then hash them locally (sha256sum <file> on Linux/macOS, certutil -hashfile <file> SHA256 on Windows) and compare the output against the hash(es) shown above.