Autotrain compatible Axolotl Base model:eleutherai/pythia-1... Base model:finetune:eleutherai... Conversational Dataset:jtatman/storywriting c... Endpoints compatible Generated from trainer Gpt neox Instruct Pytorch Region:us Relora
Model Card on HF 🤗: https://huggingface.co/jtatman/pythia-160m-storytelling
Pythia 160M Storytelling 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)
Pythia 160M Storytelling Parameters and Internals
| Training Details |
|
| LLM Name | Pythia 160M Storytelling |
| Repository 🤗 | https://huggingface.co/jtatman/pythia-160m-storytelling |
| Base Model(s) | |
| Model Size | 160m |
| Required VRAM | 0.3 GB |
| Updated | 2025-02-05 |
| Maintainer | jtatman |
| Model Type | gpt_neox |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 50304 |
| Torch Data Type | bfloat16 |
Rank the Pythia 160M Storytelling Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227