Meditron 7B Lora Finetuned 4bit is an open-source language model by HealTether-Healthcare. Features: 7b LLM, VRAM: 3.9GB, Context: 8K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.14.
| LLM Name | Meditron 7B Lora Finetuned 4bit |
| Repository ๐ค | https://huggingface.co/HealTether-Healthcare/meditron-7B-lora-finetuned-4bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2024-07-24 |
| Maintainer | HealTether-Healthcare |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <PAD> |
| Vocabulary Size | 32017 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 2 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 4 | 3 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 4 | 1 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 3 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 3 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 3 | 1 |
| DeepSeek Prover V2 7B 4bit | 64K / 3.9 GB | 28 | 4 |
| Mistral 7B Openplatypus 1K | 32K / 29 GB | 1814 | 0 |
| Mistral 7B OpenOrca 1K | 32K / 29 GB | 1811 | 3 |
| ...rnlm2 20B Llama 4.0bpw H6 EXL2 | 32K / 11 GB | 1 | 1 |
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