16bit Autotrain compatible Dataset:dahoas/full-hh-rlhf Dataset:dmayhem93/chatcombined Dataset:huggingfaceh4/databric... Dataset:jeffwan/sharegpt vicun... Dataset:nomic-ai/gpt4all promp... Dataset:tatsu-lab/alpaca En Endpoints compatible Gpt neox Pytorch Quantized Region:us Sharded
Stablelm Tuned Alpha 7B 16bit Benchmarks
LMSys ELO: 840 vs 1272 (so35)-34%
ARC: 31.91 vs 96.7 (so35)-67%
HellaSwag: 53.59 vs 95.3 (gpt4)-43.8%
MMLU: 24.41 vs 88.3 (so35)-72.4%
TruthfulQA: 40.37 vs 59 (gpt4)-31.6%
WinoGrande: 53.12 vs 87.5 (gpt4)-39.3%
GSM8K: 0.83 vs 96.4 (so35)-99.1%
LLME Score: 0.15826
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)
Stablelm Tuned Alpha 7B 16bit Parameters and Internals
| LLM Name | Stablelm Tuned Alpha 7B 16bit |
| Repository 🤗 | https://huggingface.co/vvsotnikov/stablelm-tuned-alpha-7b-16bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 16 GB |
| Updated | 2024-10-18 |
| Maintainer | vvsotnikov |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 16bit |
| Model Architecture | GPTNeoXForCausalLM |
| License | cc-by-nc-sa-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50432 |
| Torch Data Type | float16 |
Best Alternatives to Stablelm Tuned Alpha 7B 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...lm Tuned Alpha 7B Sharded 8bit | 4K / 8.6 GB | 6 | 2 |
| Open Calm 7B 8bit | 2K / 7.4 GB | 10 | 10 |
| Dolly V2 7B Sharded 8bit | 2K / 7.4 GB | 31 | 1 |
| Dolly V2 7B 8bit | 2K / 7.4 GB | 6 | 0 |
| Literature 7B 16384 | 16K / 36 GB | 33 | 14 |
| RedPajama 7B 16384 | 16K / 36 GB | 3 | 4 |
| Stablelm Tuned Alpha 7B | 4K / 31.9 GB | 2276 | 357 |
| Stablelm Base Alpha 7B | 4K / 31.9 GB | 2126 | 210 |
| Stablelm 7B Sft V7 Epoch 3 | 4K / 32.4 GB | 1248 | 67 |
| StableLManticore 7B | 4K / 16 GB | 4 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than vvsotnikov/stablelm-tuned-alpha-7b-16bit .
Rank the Stablelm Tuned Alpha 7B 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803