When was DeepSeek R1 Distill Llama 8B released?

DeepSeek R1 Distill Llama 8B was released on January 20, 2025 by DeepSeek. This is the official DeepSeek R1 Distill Llama 8B release date tracked on LLM Stats.

How big is DeepSeek R1 Distill Llama 8B?

DeepSeek R1 Distill Llama 8B has 8.0 billion parameters. It was trained on 14.8 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created DeepSeek R1 Distill Llama 8B?

DeepSeek R1 Distill Llama 8B was created by DeepSeek.

What is the license for DeepSeek R1 Distill Llama 8B?

DeepSeek R1 Distill Llama 8B is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

Where is the DeepSeek R1 Distill Llama 8B paper or technical report?

DeepSeek R1 Distill Llama 8B has a paper or technical report available at https://arxiv.org/pdf/2501.12948. Use that source for architecture, training, release and evaluation details.

What models should I compare DeepSeek R1 Distill Llama 8B against?

Common DeepSeek R1 Distill Llama 8B comparisons include DeepSeek R1 Distill Llama 8B vs Qwen3 14B, DeepSeek R1 Distill Llama 8B vs QwQ-32B, DeepSeek R1 Distill Llama 8B vs Claude 3.7 Sonnet. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.

DeepSeek R1 Distill Llama 8B Benchmarks, Pricing & Context Window

Name: DeepSeek R1 Distill Llama 8B
Author: DeepSeek

DeepSeek R1 Distill Llama 8B: Benchmarks, Pricing & Context Window

DeepSeek R1 Distill Llama 8B is a language model from DeepSeek, released in January 2025.

DeepSeek-R1 is the first-generation reasoning model built atop DeepSeek-V3 (671B total parameters, 37B activated per token). It incorporates large-scale reinforcement learning (RL) to enhance its chain-of-thought and reasoning

DeepSeek R1 Distill Llama 8B benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for DeepSeek R1 Distill Llama 8B across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How DeepSeek R1 Distill Llama 8B holds up as conversations get longer.

Quality Tracker

DeepSeek R1 Distill Llama 8B Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Tue Sep 08 2026

Notice missing or incorrect data?

DeepSeek R1 Distill Llama 8B model size

DeepSeek R1 Distill Llama 8B has 8.0 billion parameters and was trained on 14.8 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens

8.0B

14.8Ttokens

1843× tokens-to-params ratio

Small (3–10B)

8.0B

1B7B70B405B

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DeepSeek R1 Distill Llama 8Bin Huggle

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DeepSeek R1 Distill Llama 8B latency

DeepSeek R1 Distill Llama 8B time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

DeepSeek R1 Distill Llama 8B examples

Recent arena outputs from DeepSeek R1 Distill Llama 8B, picked from the highest-ranked matchups.

DeepSeek R1 Distill Llama 8B license

DeepSeek R1 Distill Llama 8B is released under the MIT license, which permits commercial use, has 8.0B parameters.

License: MIT; Commercial use allowed
Parameters: 8.0B

MIT License - allows commercial use

DeepSeek R1 Distill Llama 8B resources

Official sources for DeepSeek R1 Distill Llama 8B: provider documentation, official playground, paper or system card, source repository, model weights.

DeepSeek R1 Distill Llama 8B vs other models

The most-compared alternatives to DeepSeek R1 Distill Llama 8B are Qwen3 14B, QwQ-32B, Claude 3.7 Sonnet. Open any pair side-by-side for benchmarks, pricing, context, and latency.