---
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
---

![](https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee)

# StarCoder2-15B-Instruct-v0.1-GGUF

## Original Model

[bigcode/starcoder2-15b-instruct-v0.1](https://huggingface.co./bigcode/starcoder2-15b-instruct-v0.1)


## Run with Gaianet

**Prompt template:**

prompt template: comming soon

**Context size:**

chat_ctx_size: `6144`


**Run with GaiaNet:**

- Quick start: https://docs.gaianet.ai/node-guide/quick-start

- Customize your node: https://docs.gaianet.ai/node-guide/customize

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [starcoder2-15b-instruct-v0.1-Q2_K.gguf](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/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](https://huggingface.co./gaianet/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-f16.gguf)     | f16 | 16 | 31.9 GB| |

*Quantized with llama.cpp b2824*