Treeswift 90M is an open-source language model by qikp. Features: 90m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.31.
Base model:distilbert/distilgp... Base model:finetune:distilbert... Conversational Dataset:huggingfaceh4/no robot... Dataset:huggingfacetb/everyday... En Endpoints compatible Gpt2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/qikp/treeswift-90m
Treeswift 90M Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Treeswift 90M Parameters and Internals
| LLM Name | Treeswift 90M |
| Repository 🤗 | https://huggingface.co/qikp/treeswift-90m |
| Base Model(s) | |
| Model Size | 90m |
| Required VRAM | 0.3 GB |
| Updated | 2026-05-02 |
| Maintainer | qikp |
| Model Type | gpt2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPT2LMHeadModel |
| License | apache-2.0 |
| Model Max Length | 1024 |
| Transformers Version | 5.0.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50260 |
| Activation Function | gelu_new |
| Errors | replace |
Rank the Treeswift 90M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a