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RichardErkhov/
soumitsr_-_smolLM2-article-digestor-gguf

Name: soumitsr_-_smolLM2-article-digestor-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

smolLM2-article-digestor - GGUF

Name	Quant method	Size
smolLM2-article-digestor.Q2_K.gguf	Q2_K	0.2GB
smolLM2-article-digestor.IQ3_XS.gguf	IQ3_XS	0.2GB
smolLM2-article-digestor.IQ3_S.gguf	IQ3_S	0.2GB
smolLM2-article-digestor.Q3_K_S.gguf	Q3_K_S	0.2GB
smolLM2-article-digestor.IQ3_M.gguf	IQ3_M	0.21GB
smolLM2-article-digestor.Q3_K.gguf	Q3_K	0.22GB
smolLM2-article-digestor.Q3_K_M.gguf	Q3_K_M	0.22GB
smolLM2-article-digestor.Q3_K_L.gguf	Q3_K_L	0.23GB
smolLM2-article-digestor.IQ4_XS.gguf	IQ4_XS	0.21GB
smolLM2-article-digestor.Q4_0.gguf	Q4_0	0.21GB
smolLM2-article-digestor.IQ4_NL.gguf	IQ4_NL	0.21GB
smolLM2-article-digestor.Q4_K_S.gguf	Q4_K_S	0.24GB
smolLM2-article-digestor.Q4_K.gguf	Q4_K	0.25GB
smolLM2-article-digestor.Q4_K_M.gguf	Q4_K_M	0.25GB
smolLM2-article-digestor.Q4_1.gguf	Q4_1	0.23GB
smolLM2-article-digestor.Q5_0.gguf	Q5_0	0.25GB
smolLM2-article-digestor.Q5_K_S.gguf	Q5_K_S	0.26GB
smolLM2-article-digestor.Q5_K.gguf	Q5_K	0.27GB
smolLM2-article-digestor.Q5_K_M.gguf	Q5_K_M	0.27GB
smolLM2-article-digestor.Q5_1.gguf	Q5_1	0.27GB
smolLM2-article-digestor.Q6_K.gguf	Q6_K	0.34GB
smolLM2-article-digestor.Q8_0.gguf	Q8_0	0.36GB

Original model description:

base_model: unsloth/SmolLM2-135M tags:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.