4-bit Adapter Base model:adapter:stabilityai... Base model:stabilityai/stablel... Bitsandbytes Custom code Finetuned Generated from trainer Lora Peft Region:us Stablelm epoch
Theory Of Mind 128 StableLM 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)
Theory Of Mind 128 StableLM Parameters and Internals
| LLM Name | Theory Of Mind 128 StableLM |
| Repository 🤗 | https://huggingface.co/jeiku/Theory_of_Mind_128_StableLM |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 0.7 GB |
| Updated | 2024-08-15 |
| Maintainer | jeiku |
| Model Files | |
| Model Architecture | Adapter |
| License | cc-by-sa-4.0 |
| Is Biased | none |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | [PAD] |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Theory Of Mind 128 StableLM
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Xenith 3B | 0K / 7.6 GB | 29 | 2 |
| Accel2 | 0K / 6.8 GB | 25 | 0 |
| Accel3 | 0K / 0 GB | 22 | 0 |
| Results | 0K / 0.9 GB | 6 | 0 |
| Openllama Test1 | 0K / 0.1 GB | 6 | 0 |
| Paligemma Vqav2 | 0K / 0 GB | 20 | 0 |
| Paligemma Hindi | 0K / 2.2 GB | 8 | 0 |
| Theory Of Mind RP 128 StableLM | 0K / 0 GB | 5 | 0 |
| AHS OPS WPCS ALPHA V 1.0 | 0K / 0.1 GB | 0 | 1 |
| Lllama AHS V 4.0 | 0K / 0.1 GB | 2 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than jeiku/Theory_of_Mind_128_StableLM .
Rank the Theory Of Mind 128 StableLM Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803