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zaddyzaddy_-_gemma-zero-zero-gguf
RichardErkhov/zaddyzaddy_-_gemma-zero-zero-gguf
zaddyzaddy_-_gemma-zero-zero-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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.gguf22.9 GB · 100%
At a glance
- Access
- Public
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025
- SHA
- 4c58ba2f
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
gemma-zero-zero - GGUF
- Model creator: https://huggingface.co/zaddyzaddy/
- Original model: https://huggingface.co/zaddyzaddy/gemma-zero-zero/
| Name | Quant method | Size |
|---|---|---|
| gemma-zero-zero.Q2_K.gguf | Q2_K | 0.63GB |
| gemma-zero-zero.IQ3_XS.gguf | IQ3_XS | 0.69GB |
| gemma-zero-zero.IQ3_S.gguf | IQ3_S | 0.72GB |
| gemma-zero-zero.Q3_K_S.gguf | Q3_K_S | 0.72GB |
| gemma-zero-zero.IQ3_M.gguf | IQ3_M | 0.75GB |
| gemma-zero-zero.Q3_K.gguf | Q3_K | 0.8GB |
| gemma-zero-zero.Q3_K_M.gguf | Q3_K_M | 0.8GB |
| gemma-zero-zero.Q3_K_L.gguf | Q3_K_L | 0.87GB |
| gemma-zero-zero.IQ4_XS.gguf | IQ4_XS | 0.88GB |
| gemma-zero-zero.Q4_0.gguf | Q4_0 | 0.92GB |
| gemma-zero-zero.IQ4_NL.gguf | IQ4_NL | 0.93GB |
| gemma-zero-zero.Q4_K_S.gguf | Q4_K_S | 0.93GB |
| gemma-zero-zero.Q4_K.gguf | Q4_K | 0.98GB |
| gemma-zero-zero.Q4_K_M.gguf | Q4_K_M | 0.98GB |
| gemma-zero-zero.Q4_1.gguf | Q4_1 | 1.02GB |
| gemma-zero-zero.Q5_0.gguf | Q5_0 | 1.11GB |
| gemma-zero-zero.Q5_K_S.gguf | Q5_K_S | 1.11GB |
| gemma-zero-zero.Q5_K.gguf | Q5_K | 1.14GB |
| gemma-zero-zero.Q5_K_M.gguf | Q5_K_M | 1.14GB |
| gemma-zero-zero.Q5_1.gguf | Q5_1 | 1.2GB |
| gemma-zero-zero.Q6_K.gguf | Q6_K | 1.31GB |
| gemma-zero-zero.Q8_0.gguf | Q8_0 | 1.7GB |
Original model description:
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft license: apache-2.0 language:
- en
Uploaded model
- Developed by: zaddyzaddy
- License: apache-2.0
- Finetuned from model : HuggingFaceTB/SmolLM2-1.7B-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025