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AtAndDev_-_ShortKing-3b-v0.2-gguf
RichardErkhov/AtAndDev_-_ShortKing-3b-v0.2-gguf
AtAndDev_-_ShortKing-3b-v0.2-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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At a glance
- Access
- Public
- Created
- Aug 18, 2024
- Updated
- Aug 18, 2024
- SHA
- a34ec105
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
ShortKing-3b-v0.2 - GGUF
- Model creator: https://huggingface.co/AtAndDev/
- Original model: https://huggingface.co/AtAndDev/ShortKing-3b-v0.2/
| Name | Quant method | Size |
|---|---|---|
| ShortKing-3b-v0.2.Q2_K.gguf | Q2_K | 1.84GB |
| ShortKing-3b-v0.2.IQ3_XS.gguf | IQ3_XS | 1.84GB |
| ShortKing-3b-v0.2.IQ3_S.gguf | IQ3_S | 1.84GB |
| ShortKing-3b-v0.2.Q3_K_S.gguf | Q3_K_S | 1.84GB |
| ShortKing-3b-v0.2.IQ3_M.gguf | IQ3_M | 1.92GB |
| ShortKing-3b-v0.2.Q3_K.gguf | Q3_K | 1.99GB |
| ShortKing-3b-v0.2.Q3_K_M.gguf | Q3_K_M | 1.99GB |
| ShortKing-3b-v0.2.Q3_K_L.gguf | Q3_K_L | 2.06GB |
| ShortKing-3b-v0.2.IQ4_XS.gguf | IQ4_XS | 1.86GB |
| ShortKing-3b-v0.2.Q4_0.gguf | Q4_0 | 1.84GB |
| ShortKing-3b-v0.2.IQ4_NL.gguf | IQ4_NL | 1.86GB |
| ShortKing-3b-v0.2.Q4_K_S.gguf | Q4_K_S | 2.24GB |
| ShortKing-3b-v0.2.Q4_K.gguf | Q4_K | 2.4GB |
| ShortKing-3b-v0.2.Q4_K_M.gguf | Q4_K_M | 2.4GB |
| ShortKing-3b-v0.2.Q4_1.gguf | Q4_1 | 2.04GB |
| ShortKing-3b-v0.2.Q5_0.gguf | Q5_0 | 2.23GB |
| ShortKing-3b-v0.2.Q5_K_S.gguf | Q5_K_S | 2.42GB |
| ShortKing-3b-v0.2.Q5_K.gguf | Q5_K | 2.57GB |
| ShortKing-3b-v0.2.Q5_K_M.gguf | Q5_K_M | 2.57GB |
| ShortKing-3b-v0.2.Q5_1.gguf | Q5_1 | 2.42GB |
| ShortKing-3b-v0.2.Q6_K.gguf | Q6_K | 3.39GB |
| ShortKing-3b-v0.2.Q8_0.gguf | Q8_0 | 3.39GB |
Original model description:
license: cc-by-4.0 datasets:
- Photolens/alpaca-cleaned-airoboros-2.1-no-code-oasst1-en-merged language:
- en
Model overview
This model is finetuned on a merged dataset of: oasst1-en, alpaca-cleaned and airoboros-2.1-no-code on a base model: Marx-3b-V2
- License: "
Creative-Commons-Attribution-4.0" - Language: "
en" - Size: "
3.43b params"
Prompt template
Prompt template:
### SYSTEM:
<system_prompt_here>
### HUMAN:
<prompter_message_here>
### INPUT:
<input_text_here>
### RESPONSE:
<leave_a_blank_line_here>
Note: If you dont have a system or input text, do not include the tokens in the prompt.
Training Details
This model took 2:40:54 to train in LoRA on a single A100 40gb GPU.<br>
- epochs:
1 - train batch size:
8 - eval batch size:
8 - gradient accumulation steps:
1 - maximum gradient normal:
0.3 - learning rate:
2e-4 - weight decay:
0.001 - optimizer:
paged_adamw_32bit - learning rate schedule:
cosine - warmup ratio (linear):
0.03
- Created
- Aug 18, 2024
- Updated
- Aug 18, 2024