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Quantization made by Richard Erkhov.

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wymodel - GGUF

Name Quant method Size
wymodel.Q2_K.gguf Q2_K 2.96GB
wymodel.IQ3_XS.gguf IQ3_XS 3.28GB
wymodel.IQ3_S.gguf IQ3_S 3.43GB
wymodel.Q3_K_S.gguf Q3_K_S 3.41GB
wymodel.IQ3_M.gguf IQ3_M 0.41GB
wymodel.Q3_K.gguf Q3_K 3.74GB
wymodel.Q3_K_M.gguf Q3_K_M 3.74GB
wymodel.Q3_K_L.gguf Q3_K_L 4.03GB
wymodel.IQ4_XS.gguf IQ4_XS 4.18GB
wymodel.Q4_0.gguf Q4_0 4.34GB
wymodel.IQ4_NL.gguf IQ4_NL 4.38GB
wymodel.Q4_K_S.gguf Q4_K_S 4.37GB
wymodel.Q4_K.gguf Q4_K 4.58GB
wymodel.Q4_K_M.gguf Q4_K_M 4.58GB
wymodel.Q4_1.gguf Q4_1 4.78GB
wymodel.Q5_0.gguf Q5_0 5.21GB
wymodel.Q5_K_S.gguf Q5_K_S 5.21GB
wymodel.Q5_K.gguf Q5_K 5.34GB
wymodel.Q5_K_M.gguf Q5_K_M 5.34GB
wymodel.Q5_1.gguf Q5_1 5.65GB
wymodel.Q6_K.gguf Q6_K 6.14GB
wymodel.Q8_0.gguf Q8_0 7.95GB

Original model description:

base_model: unsloth/meta-llama-3.1-8b-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl - sft

Uploaded model

  • Developed by: ddnoodle
  • License: apache-2.0
  • Finetuned from model : unsloth/meta-llama-3.1-8b-bnb-4bit

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

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