metadata
license: llama2
library_name: transformers
tags:
- code
- TensorBlock
- GGUF
base_model: budecosystem/code-millenials-13b
model-index:
- name: Code Millenials
results:
- task:
type: text-generation
dataset:
name: HumanEval
type: openai_humaneval
metrics:
- type: pass@1
value: 0.7621
name: pass@1
verified: false
budecosystem/code-millenials-13b - GGUF
This repo contains GGUF format model files for budecosystem/code-millenials-13b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| code-millenials-13b-Q2_K.gguf | Q2_K | 4.855 GB | smallest, significant quality loss - not recommended for most purposes |
| code-millenials-13b-Q3_K_S.gguf | Q3_K_S | 5.659 GB | very small, high quality loss |
| code-millenials-13b-Q3_K_M.gguf | Q3_K_M | 6.338 GB | very small, high quality loss |
| code-millenials-13b-Q3_K_L.gguf | Q3_K_L | 6.930 GB | small, substantial quality loss |
| code-millenials-13b-Q4_0.gguf | Q4_0 | 7.366 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| code-millenials-13b-Q4_K_S.gguf | Q4_K_S | 7.424 GB | small, greater quality loss |
| code-millenials-13b-Q4_K_M.gguf | Q4_K_M | 7.866 GB | medium, balanced quality - recommended |
| code-millenials-13b-Q5_0.gguf | Q5_0 | 8.973 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| code-millenials-13b-Q5_K_S.gguf | Q5_K_S | 8.973 GB | large, low quality loss - recommended |
| code-millenials-13b-Q5_K_M.gguf | Q5_K_M | 9.230 GB | large, very low quality loss - recommended |
| code-millenials-13b-Q6_K.gguf | Q6_K | 10.680 GB | very large, extremely low quality loss |
| code-millenials-13b-Q8_0.gguf | Q8_0 | 13.832 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/code-millenials-13b-GGUF --include "code-millenials-13b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/code-millenials-13b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'