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SmolPlatypus-1.5B - GGUF
- Model creator: https://huggingface.co/ToastyPigeon/
- Original model: https://huggingface.co/ToastyPigeon/SmolPlatypus-1.5B/
| Name | Quant method | Size |
|---|---|---|
| SmolPlatypus-1.5B.Q2_K.gguf | Q2_K | 0.55GB |
| SmolPlatypus-1.5B.IQ3_XS.gguf | IQ3_XS | 0.61GB |
| SmolPlatypus-1.5B.IQ3_S.gguf | IQ3_S | 0.64GB |
| SmolPlatypus-1.5B.Q3_K_S.gguf | Q3_K_S | 0.64GB |
| SmolPlatypus-1.5B.IQ3_M.gguf | IQ3_M | 0.67GB |
| SmolPlatypus-1.5B.Q3_K.gguf | Q3_K | 0.71GB |
| SmolPlatypus-1.5B.Q3_K_M.gguf | Q3_K_M | 0.71GB |
| SmolPlatypus-1.5B.Q3_K_L.gguf | Q3_K_L | 0.77GB |
| SmolPlatypus-1.5B.IQ4_XS.gguf | IQ4_XS | 0.79GB |
| SmolPlatypus-1.5B.Q4_0.gguf | Q4_0 | 0.82GB |
| SmolPlatypus-1.5B.IQ4_NL.gguf | IQ4_NL | 0.83GB |
| SmolPlatypus-1.5B.Q4_K_S.gguf | Q4_K_S | 0.83GB |
| SmolPlatypus-1.5B.Q4_K.gguf | Q4_K | 0.87GB |
| SmolPlatypus-1.5B.Q4_K_M.gguf | Q4_K_M | 0.87GB |
| SmolPlatypus-1.5B.Q4_1.gguf | Q4_1 | 0.91GB |
| SmolPlatypus-1.5B.Q5_0.gguf | Q5_0 | 1.0GB |
| SmolPlatypus-1.5B.Q5_K_S.gguf | Q5_K_S | 1.0GB |
| SmolPlatypus-1.5B.Q5_K.gguf | Q5_K | 1.02GB |
| SmolPlatypus-1.5B.Q5_K_M.gguf | Q5_K_M | 1.02GB |
| SmolPlatypus-1.5B.Q5_1.gguf | Q5_1 | 1.08GB |
| SmolPlatypus-1.5B.Q6_K.gguf | Q6_K | 1.18GB |
| SmolPlatypus-1.5B.Q8_0.gguf | Q8_0 | 1.53GB |
Original model description:
base_model: - ToastyPigeon/SmolLlama-1.5B - ToastyPigeon/SmolPlatypus-1.5B-LoRA tags: - mergekit - merge license: apache-2.0 datasets: - garage-bAInd/Open-Platypus
SmolPlatypus-1.5b
This is a proof-of-concept model and should not be used for anything.
This is a merge of pre-trained language models created using mergekit.
The LoRA adapter was created with axolotl using qlora (I know, it's misnamed) training a solar-style stack merge dubbed "SmolLlama-1.5B" on the Open-Platypus dataset for approximately 2 hours on 2x RTX 3060.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ToastyPigeon/SmolLlama-1.5B+ToastyPigeon/SmolPlatypus-1.5B-LoRA
merge_method: passthrough
dtype: float16
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