Autotrain compatible Dataset:dahoas/synthetic-instr... En Endpoints compatible Gpt neox Instruct Pythia Pytorch Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/lambdalabs/pythia-6.9b-deduped-synthetic-instruct
Pythia 6.9B Deduped Synthetic Instruct 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 6.9B Deduped Synthetic Instruct Parameters and Internals
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| LLM Name | Pythia 6.9B Deduped Synthetic Instruct |
| Repository 🤗 | https://huggingface.co/lambdalabs/pythia-6.9b-deduped-synthetic-instruct |
| Model Size | 6.9b |
| Required VRAM | 27.5 GB |
| Updated | 2025-09-23 |
| Maintainer | lambdalabs |
| Model Type | gpt_neox |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.25.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50278 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 6.9B Deduped Synthetic Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Open Instruct Pythia 6.9B Tulu | 2K / 27.6 GB | 396 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than lambdalabs/pythia-6.9b-deduped-synthetic-instruct .
Rank the Pythia 6.9B Deduped Synthetic Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124