GPT JT 6B V1 Float16 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)
GPT JT 6B V1 Float16 Parameters and Internals
| LLM Name | GPT JT 6B V1 Float16 |
| Repository 🤗 | https://huggingface.co/ASID/GPT-JT-6B-v1-float16 |
| Model Size | 6b |
| Required VRAM | 24.3 GB |
| Updated | 2024-10-18 |
| Maintainer | ASID |
| Model Type | gptj |
| Model Files | |
| Model Architecture | GPTJForCausalLM |
| License | apache-2.0 |
| Transformers Version | 4.26.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50400 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Best Alternatives to GPT JT 6B V1 Float16
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Test GPT J 6B | 0K / 2.5 GB | 1374 | 0 |
| Deception Normal | 0K / 12.2 GB | 5 | 0 |
| Deception Filteredpositive | 0K / 12.2 GB | 5 | 0 |
| Gptj Allenai Toxicity Blackbox | 0K / 12.2 GB | 5 | 0 |
| ...j Allenai Toxicity Explainable | 0K / 12.2 GB | 5 | 0 |
| GPT J 6B | 0K / 24.2 GB | 456 | 1 |
| Explainable GPT J 6B | 0K / 24.2 GB | 6 | 0 |
| Pygmalion 6B | 0K / 16.3 GB | 2599 | 728 |
| Jeneri SAMA 6B | 0K / 12.2 GB | 13 | 1 |
| Pygmalion 6B Roleplay | 0K / 12.1 GB | 1175 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than ASID/GPT-JT-6B-v1-float16 .
Rank the GPT JT 6B V1 Float16 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 36966 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803