metadata
base_model: bigcode/starcoder2-15b-instruct-v0.1
inference: false
license: bigcode-openrail-m
library_name: transformers
model_creator: bigcode
model_name: StarCoder2-15B-Instruct-v0.1
pipeline_tag: text-generation
quantized_by: Second State Inc.
tags:
- code
StarCoder2-15B-Instruct-v0.1-GGUF
Original Model
bigcode/starcoder2-15b-instruct-v0.1
Run with LlamaEdge
LlamaEdge version: coming soon
Context size:
6144
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| starcoder2-15b-instruct-v0.1-Q2_K.gguf | Q2_K | 2 | 6.19 GB | smallest, significant quality loss - not recommended for most purposes |
| starcoder2-15b-instruct-v0.1-Q3_K_L.gguf | Q3_K_L | 3 | 8.97 GB | small, substantial quality loss |
| starcoder2-15b-instruct-v0.1-Q3_K_M.gguf | Q3_K_M | 3 | 8.1 GB | very small, high quality loss |
| starcoder2-15b-instruct-v0.1-Q3_K_S.gguf | Q3_K_S | 3 | 6.99 GB | very small, high quality loss |
| starcoder2-15b-instruct-v0.1-Q4_0.gguf | Q4_0 | 4 | 9.07 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| starcoder2-15b-instruct-v0.1-Q4_K_M.gguf | Q4_K_M | 4 | 9.86 GB | medium, balanced quality - recommended |
| starcoder2-15b-instruct-v0.1-Q4_K_S.gguf | Q4_K_S | 4 | 9.26 GB | small, greater quality loss |
| starcoder2-15b-instruct-v0.1-Q5_0.gguf | Q5_0 | 5 | 11 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| starcoder2-15b-instruct-v0.1-Q5_K_M.gguf | Q5_K_M | 5 | 11.4 GB | large, very low quality loss - recommended |
| starcoder2-15b-instruct-v0.1-Q5_K_S.gguf | Q5_K_S | 5 | 11 GB | large, low quality loss - recommended |
| starcoder2-15b-instruct-v0.1-Q6_K.gguf | Q6_K | 6 | 13.1 GB | very large, extremely low quality loss |
| starcoder2-15b-instruct-v0.1-Q8_0.gguf | Q8_0 | 8 | 17 GB | very large, extremely low quality loss - not recommended |
| starcoder2-15b-instruct-v0.1-f16.gguf | f16 | 16 | 31.9 GB |
Quantized with llama.cpp b2824