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NotAiLOL_-_Med-Yi-1.5-9B-gguf
RichardErkhov/NotAiLOL_-_Med-Yi-1.5-9B-gguf
NotAiLOL_-_Med-Yi-1.5-9B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf117 GB · 100%
At a glance
- Access
- Public
- Created
- Jun 16, 2024
- Updated
- Jun 17, 2024
- SHA
- 05d94176
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Med-Yi-1.5-9B - GGUF
- Model creator: https://huggingface.co/NotAiLOL/
- Original model: https://huggingface.co/NotAiLOL/Med-Yi-1.5-9B/
| Name | Quant method | Size |
|---|---|---|
| Med-Yi-1.5-9B.Q2_K.gguf | Q2_K | 3.12GB |
| Med-Yi-1.5-9B.IQ3_XS.gguf | IQ3_XS | 3.46GB |
| Med-Yi-1.5-9B.IQ3_S.gguf | IQ3_S | 3.64GB |
| Med-Yi-1.5-9B.Q3_K_S.gguf | Q3_K_S | 3.63GB |
| Med-Yi-1.5-9B.IQ3_M.gguf | IQ3_M | 3.78GB |
| Med-Yi-1.5-9B.Q3_K.gguf | Q3_K | 4.03GB |
| Med-Yi-1.5-9B.Q3_K_M.gguf | Q3_K_M | 4.03GB |
| Med-Yi-1.5-9B.Q3_K_L.gguf | Q3_K_L | 4.37GB |
| Med-Yi-1.5-9B.IQ4_XS.gguf | IQ4_XS | 4.5GB |
| Med-Yi-1.5-9B.Q4_0.gguf | Q4_0 | 4.69GB |
| Med-Yi-1.5-9B.IQ4_NL.gguf | IQ4_NL | 4.73GB |
| Med-Yi-1.5-9B.Q4_K_S.gguf | Q4_K_S | 4.72GB |
| Med-Yi-1.5-9B.Q4_K.gguf | Q4_K | 4.96GB |
| Med-Yi-1.5-9B.Q4_K_M.gguf | Q4_K_M | 4.96GB |
| Med-Yi-1.5-9B.Q4_1.gguf | Q4_1 | 5.19GB |
| Med-Yi-1.5-9B.Q5_0.gguf | Q5_0 | 5.69GB |
| Med-Yi-1.5-9B.Q5_K_S.gguf | Q5_K_S | 5.69GB |
| Med-Yi-1.5-9B.Q5_K.gguf | Q5_K | 5.83GB |
| Med-Yi-1.5-9B.Q5_K_M.gguf | Q5_K_M | 5.83GB |
| Med-Yi-1.5-9B.Q5_1.gguf | Q5_1 | 6.19GB |
| Med-Yi-1.5-9B.Q6_K.gguf | Q6_K | 6.75GB |
| Med-Yi-1.5-9B.Q8_0.gguf | Q8_0 | 8.74GB |
Original model description:
language:
- en license: apache-2.0 tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft base_model: 01-ai/Yi-1.5-9B datasets:
- Kabatubare/medical-alpaca
Uploaded model
- Developed by: NotAiLOL
- License: apache-2.0
- Finetuned from model : 01-ai/Yi-1.5-9B
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Model detail
Prompt format
The model uses the alpaca format:
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
{}
### Input:
{}
### Response:
{}
- Created
- Jun 16, 2024
- Updated
- Jun 17, 2024