Autotrain compatible Base model:finetune:xetute/pha... Base model:xetute/phantasor v0... Chinese Conversational Dataset:chamoda/atlas-storytel... Dataset:jaydenccc/ai storytell... Dataset:matanp/emotion mapped ... Dataset:xetute/sstory-gen-en z... Dataset:zxbsmk/webnovel cn En Endpoints compatible English Full Generated from trainer Gpt2 Llama-factory Region:us Safetensors Story Tiny Zh
Model Card on HF 🤗: https://huggingface.co/XeTute/Phantasor_V0.3-137M
Phantasor V0.3 137M 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)
Phantasor V0.3 137M Parameters and Internals
| LLM Name | Phantasor V0.3 137M |
| Repository 🤗 | https://huggingface.co/XeTute/Phantasor_V0.3-137M |
| Base Model(s) | |
| Model Size | 137m |
| Required VRAM | 0.5 GB |
| Updated | 2025-02-22 |
| Maintainer | XeTute |
| Model Type | gpt2 |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | GPT2LMHeadModel |
| License | mit |
| Model Max Length | 1024 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to Phantasor V0.3 137M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phantasor V0.1 137M | 0K / 0.5 GB | 77 | 1 |
| Phantasor V0.2 137M | 0K / 0.5 GB | 64 | 1 |
| Gpt2 | 0K / 0.5 GB | 17494295 | 2583 |
| Gpt2 Auth | 0K / 0.5 GB | 69 | 0 |
| My GPT2 | 0K / 0.5 GB | 1904 | 0 |
| Gpt2 Alpaca | 0K / 0.5 GB | 22696 | 9 |
| Gpt2 Test | 0K / 0.5 GB | 1916 | 0 |
| Xuanxuan | 0K / 0.3 GB | 139 | 0 |
| Gpt2023 | 0K / 0.3 GB | 2097 | 17 |
| Gpt2 Conversational Or Qa | 0K / 0.5 GB | 1946 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than XeTute/Phantasor_V0.3-137M .
Rank the Phantasor V0.3 137M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227