YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Quantization made by Richard Erkhov.

Github

Discord

Request more models

model - GGUF

Name Quant method Size
model.Q2_K.gguf Q2_K 1.27GB
model.IQ3_XS.gguf IQ3_XS 1.38GB
model.IQ3_S.gguf IQ3_S 1.44GB
model.Q3_K_S.gguf Q3_K_S 1.44GB
model.IQ3_M.gguf IQ3_M 1.49GB
model.Q3_K.gguf Q3_K 1.57GB
model.Q3_K_M.gguf Q3_K_M 1.57GB
model.Q3_K_L.gguf Q3_K_L 1.69GB
model.IQ4_XS.gguf IQ4_XS 1.71GB
model.Q4_0.gguf Q4_0 1.79GB
model.IQ4_NL.gguf IQ4_NL 1.79GB
model.Q4_K_S.gguf Q4_K_S 1.8GB
model.Q4_K.gguf Q4_K 1.88GB
model.Q4_K_M.gguf Q4_K_M 1.88GB
model.Q4_1.gguf Q4_1 1.95GB
model.Q5_0.gguf Q5_0 2.11GB
model.Q5_K_S.gguf Q5_K_S 2.11GB
model.Q5_K.gguf Q5_K 2.16GB
model.Q5_K_M.gguf Q5_K_M 2.16GB
model.Q5_1.gguf Q5_1 2.28GB
model.Q6_K.gguf Q6_K 2.46GB
model.Q8_0.gguf Q8_0 3.19GB

Original model description:

base_model: unsloth/llama-3.2-3b-instruct-bnb-4bit tags: - text-generation-inference - transformers - unsloth - llama - trl - sft license: apache-2.0 language: - en

Uploaded model

  • Developed by: cyfts
  • License: apache-2.0
  • Finetuned from model : unsloth/llama-3.2-3b-instruct-bnb-4bit

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

Downloads last month
27
GGUF
Model size
3B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support