Unsloth Analysis
What is Unsloth?
Unsloth provides an open-source, no-code web interface for training, running, and exporting open models locally. The product supports GGUF and safetensor models on Mac, Windows, Linux, and WSL, with offline operation, API access, and model comparison tools. The company also reports performance claims including 2x faster finetuning, 90% less memory usage than FA2, and support for 500+ models across text, vision, audio, and embeddings.
Location
San Francisco, United States
Employees
11-50
Founded
2023
Company Stage
Seed
Investors
- Y Combinator
- Pioneer Fund
- GitHub Accelerator
YC Batch
S24
Product Features & Capabilities
- Free version, Unsloth Pro, Unsloth Enterprise, single GPU support, multi GPU support, 2.5x faster training, 30x faster training, 20% less VRAM, 30% accuracy improvement, supports Mistral, Gemma, LLama 1, 2, 3, LoRA and QLoRA fine-tuning, open-source.
Pricing
- Free Plan:
- Open-source
- Supports Mistral, Gemma
- Supports LLama 1, 2, 3
- Single GPU support
- Supports 4 bit, 16 bit LoRA
- Unsloth Pro:
- 2.5x number of GPUs faster than FA2
- 20% less memory than OSS
- Multi GPU support
- Up to 8 GPUs support
- For any use case
- Unsloth Enterprise:
- 32x number of GPUs faster than FA2
- Up to +30% accuracy
- 5x faster inference
- Supports full training
- All Pro plan features
- Multi-node support
- Customer support
Who are the founders of Unsloth
DH
Daniel Han
Founder
MH
Michael Han
Founder
Competitors Overview
The main competitors of Unsloth in the market for tools that facilitate the finetuning and training of large language models (LLMs) include:
-
Neural Magic: Specializes in optimizing AI workloads to run efficiently on existing hardware without the need for specialized GPUs. Their recent acquisition by Red Hat enhances their capabilities in LLMOps, making them a strong competitor in the AI optimization space.
-
Lamini: Focuses on providing a generative AI platform for enterprises, recently raising $25 million to expand its offerings. Lamini's emphasis on enterprise solutions and generative AI distinguishes it from Unsloth, which is more focused on the training and finetuning processes.
-
GradientJ: While specific details about GradientJ's offerings were not found, they are noted as a competitor in the AI training space, likely focusing on similar aspects of LLM training.
-
Explosion: Known for their work in natural language processing and machine learning, they provide tools that may overlap with Unsloth's offerings, particularly in the training of language models.
-
Sapien: Although specific information was not retrieved, they are listed as a competitor, likely focusing on AI training solutions.
Notable differences include Neural Magic's focus on hardware optimization, Lamini's enterprise-centric approach, and the varying degrees of specialization among the competitors in the LLM training space.
Business Model
Subscription and freeware models with tiered pricing for different user levels.
Market Focus
Unsloth primarily focuses on the artificial intelligence industry, specifically in providing tools for finetuning and training large language models (LLMs) with an emphasis on speed and efficiency.
Company Pricing
- Free Plan:
- Open-source
- Supports Mistral, Gemma
- Supports LLama 1, 2, 3
- Single GPU support
- Supports 4 bit, 16 bit LoRA
- Unsloth Pro:
- 2.5x number of GPUs faster than FA2
- 20% less memory than OSS
- Multi GPU support
- Up to 8 GPUs support
- For any use case
See something that needs updating? Suggest edits to this profile.