Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Mistral Pytorch Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/Americo/uma_model_pretrained
Uma Model Pretrained Parameters and Internals
| LLM Name | Uma Model Pretrained |
| Repository 🤗 | https://huggingface.co/Americo/uma_model_pretrained |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-07-04 |
| Maintainer | Americo |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Quantized Models of the Uma Model Pretrained
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| Uma Model Pretrained 4bit | 0 | 76 | 4 GB |
Best Alternatives to Uma Model Pretrained
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 4620 | 11 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 5681 | 50 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 12 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 5633 | 16 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 14619 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 7 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
| Test001 | 128K / 14.5 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Americo/uma_model_pretrained .
Rank the Uma Model Pretrained Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227