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RichardErkhov/Changlong1_-_ttLlama-7b-gguf
Changlong1_-_ttLlama-7b-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.
Downloads · 30 days
188
16% of all-time downloads
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.gguf88.7 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
ttLlama-7b - GGUF
| Name | Quant method | Size |
|---|---|---|
| ttLlama-7b.Q2_K.gguf | Q2_K | 2.36GB |
| ttLlama-7b.IQ3_XS.gguf | IQ3_XS | 2.6GB |
| ttLlama-7b.IQ3_S.gguf | IQ3_S | 2.75GB |
| ttLlama-7b.Q3_K_S.gguf | Q3_K_S | 2.75GB |
| ttLlama-7b.IQ3_M.gguf | IQ3_M | 2.9GB |
| ttLlama-7b.Q3_K.gguf | Q3_K | 3.07GB |
| ttLlama-7b.Q3_K_M.gguf | Q3_K_M | 3.07GB |
| ttLlama-7b.Q3_K_L.gguf | Q3_K_L | 3.35GB |
| ttLlama-7b.IQ4_XS.gguf | IQ4_XS | 3.4GB |
| ttLlama-7b.Q4_0.gguf | Q4_0 | 3.56GB |
| ttLlama-7b.IQ4_NL.gguf | IQ4_NL | 3.58GB |
| ttLlama-7b.Q4_K_S.gguf | Q4_K_S | 3.59GB |
| ttLlama-7b.Q4_K.gguf | Q4_K | 3.8GB |
| ttLlama-7b.Q4_K_M.gguf | Q4_K_M | 3.8GB |
| ttLlama-7b.Q4_1.gguf | Q4_1 | 3.95GB |
| ttLlama-7b.Q5_0.gguf | Q5_0 | 4.33GB |
| ttLlama-7b.Q5_K_S.gguf | Q5_K_S | 4.33GB |
| ttLlama-7b.Q5_K.gguf | Q5_K | 4.45GB |
| ttLlama-7b.Q5_K_M.gguf | Q5_K_M | 4.45GB |
| ttLlama-7b.Q5_1.gguf | Q5_1 | 4.72GB |
| ttLlama-7b.Q6_K.gguf | Q6_K | 5.15GB |
| ttLlama-7b.Q8_0.gguf | Q8_0 | 6.67GB |
This is a codellama/CodeLlama-7b-hf model fine-tuned using QLoRA (4-bit precision) on the mlabonne/Evol-Instruct-Python-1k. It was trained on an RTX 3090 in 1h 11m 44s with the configuration file.
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the base 7B version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.