8-bit 8bit Autotrain compatible Dataset:databricks/databricks-... Dolly Dolly-v2 En Gpt neox Instruct Pytorch Quantized Region:us Sharded
Dolly V2 7B Sharded 8bit 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)
Dolly V2 7B Sharded 8bit Parameters and Internals
| LLM Name | Dolly V2 7B Sharded 8bit |
| Repository 🤗 | https://huggingface.co/ethzanalytics/dolly-v2-7b-sharded-8bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.4 GB |
| Updated | 2024-10-18 |
| Maintainer | ethzanalytics |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 8bit |
| Model Architecture | GPTNeoXForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50280 |
| Torch Data Type | float16 |
Best Alternatives to Dolly V2 7B Sharded 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Stablelm Tuned Alpha 7B 16bit | 4K / 16 GB | 6 | 5 |
| ...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 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 ethzanalytics/dolly-v2-7b-sharded-8bit .
Rank the Dolly V2 7B Sharded 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803