metadata
base_model: bigcode/starcoder2-3b
inference: false
license: bigcode-openrail-m
library_name: transformers
model_creator: bigcode
model_name: StarCoder2 3B
pipeline_tag: text-generation
quantized_by: Second State Inc.
tags:
- code
StarCoder2-3B-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: coming soon
Context size:
3072
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| starcoder2-3b-Q2_K.gguf | Q2_K | 2 | 1.15 GB | smallest, significant quality loss - not recommended for most purposes |
| starcoder2-3b-Q3_K_L.gguf | Q3_K_L | 3 | 1.68 GB | small, substantial quality loss |
| starcoder2-3b-Q3_K_M.gguf | Q3_K_M | 3 | 1.51 GB | very small, high quality loss |
| starcoder2-3b-Q3_K_S.gguf | Q3_K_S | 3 | 1.31 GB | very small, high quality loss |
| starcoder2-3b-Q4_0.gguf | Q4_0 | 4 | 1.71 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| starcoder2-3b-Q4_K_M.gguf | Q4_K_M | 4 | 1.85 GB | medium, balanced quality - recommended |
| starcoder2-3b-Q4_K_S.gguf | Q4_K_S | 4 | 1.74 GB | small, greater quality loss |
| starcoder2-3b-Q5_0.gguf | Q5_0 | 5 | 2.09 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| starcoder2-3b-Q5_K_M.gguf | Q5_K_M | 5 | 2.16 GB | large, very low quality loss - recommended |
| starcoder2-3b-Q5_K_S.gguf | Q5_K_S | 5 | 2.09 GB | large, low quality loss - recommended |
| starcoder2-3b-Q6_K.gguf | Q6_K | 6 | 2.49 GB | very large, extremely low quality loss |
| starcoder2-3b-Q8_0.gguf | Q8_0 | 8 | 3.22 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b2308