τemplar

SN3 Price

About τemplar (sn3)

τemplar is a decentralized training framework for large language models (LLMs) built as a subnet on the Bittensor network.

• It coordinates distributed training across heterogeneous computational resources globally via the internet.
• The system uses a peer-to-peer architecture where nodes contribute compute power to a shared model.
• It employs specialized gradient compression techniques to enable efficient training across diverse network conditions.

What Is τemplar

τemplar is an incentivized protocol designed for the collaborative training of large language models. Operating as Subnet 3 on the Bittensor network, it aims to democratize AI development by allowing diverse participants to contribute computational power to train high-performance models. The project gained significant attention for successfully training its "Covenant-72B" model using decentralized excess compute, demonstrating performance comparable to industry-standard models like Llama.

The network functions through a competitive marketplace where participants are rewarded based on the quality and impact of their contributions. By leveraging decentralized infrastructure, τemplar seeks to reduce the reliance on centralized super-corporations for AI training, providing a transparent and open-source alternative for developing foundation models.

What Makes τemplar Unique

• Distributed Training at Scale: Unlike centralized clusters, τemplar coordinates training across non-uniform hardware connected via standard internet connections.
• Gradient Compression: The framework utilizes Discrete Cosine Transform (DCT) and top-k selection to compress training data, significantly reducing the bandwidth required for peer-to-peer updates.
• OpenSkill Rating System: It implements a fair ranking mechanism based on the PlackettLuce model to evaluate miner contributions and ensure accurate reward distribution.
• Heterogeneous Resource Utilization: The protocol is designed to handle varying levels of compute power, allowing a wide range of hardware to participate in the training process.

What Can You Use τemplar for?

τemplar serves as an application utility token within its specialized subnet on the Bittensor ecosystem.

• Miner Participation: Users can stake or utilize tokens to participate as miners, contributing compute power to train the collective LLM.
• Validator Operations: Tokens are used by validators to secure the network, evaluate miner performance, and influence the direction of model development.
• Protocol Governance: While specific governance details are community-driven, the token plays a role in the economic steering of Subnet 3.
• Incentive Alignment: The token acts as the primary medium for rewards, aligning the interests of individual compute providers with the goal of improving the shared model's performance.

How Does τemplar Work?

τemplar operates through a specialized workflow involving three primary roles: miners, validators, and aggregators. Miners load assigned subsets of a training dataset and perform forward and backward passes to compute gradients. These gradients represent the "learning" derived from the data. To overcome bandwidth limitations, miners compress these gradients using DCT transforms before uploading them to distributed storage.

Validators then gather these compressed gradients and evaluate their quality by measuring the loss improvement they provide to the global model. This evaluation process ensures that only high-quality contributions are rewarded. Aggregators then gather peer gradients, decompress them, and apply the updates to the global model state. This cycle repeats in "windows," allowing the model to evolve continuously through decentralized collaboration.

Team Info and Investors

τemplar is a community-driven project within the Bittensor ecosystem. While specific founding team members are not explicitly named in official documentation, the project is maintained by a decentralized group of developers and researchers. The project has received recognition from industry figures for its technical achievements in decentralized training. No traditional venture capital funding rounds are documented in the provided sources, as the project operates under Bittensor's fair launch and incentive-based model.

Where can you buy τemplar?

SN3 tokens can be traded on decentralized exchanges. The most popular exchange to buy and trade τemplar is Subnet Tokens, where the most active trading pair SN3/SN0 has a trading volume of $2,567,164.23 in the last 24 hours.

What is the daily trading volume of τemplar (SN3)?

The trading volume of τemplar (SN3) is $2,567,164.23 in the last 24 hours, representing a -44.70% decrease from one day ago and signalling a recent fall in market activity. Check out CoinGecko’s list of highest volume cryptocurrencies.

What is the highest and lowest price for τemplar (SN3)?

τemplar (SN3) reached an all-time high of $44.47 and an all-time low of $4.18. It’s now trading -89.20% below that peak and 15.10% above its lowest price.

What is the market cap of τemplar (SN3)?

Market capitalization of τemplar (SN3) is $22,913,076 and is ranked #746 on CoinGecko today. Market cap is measured by multiplying token price with the circulating supply of SN3 tokens (4.8 Million tokens are tradable on the market today).

What is the fully diluted valuation of τemplar (SN3)?

The fully diluted valuation (FDV) of τemplar (SN3) is $22,913,076. This is a statistical representation of the maximum market cap, assuming the maximum number of 21 Million SN3 tokens are in circulation today. Depending on how the emission schedule of SN3 tokens are designed, it might take multiple years before FDV is realized.

How does the price performance of τemplar compare against its peers?

With a price decline of -2.90% in the last 7 days, τemplar (SN3) is outperforming the global cryptocurrency market which is down -5.70%, while outperforming when compared to similar Artificial Intelligence (AI) cryptocurrencies which are down -6.10%.