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starcoder2-15b-instruct-v0.1-GGUF

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starcoder2-15b-instruct-v0.1-GGUF
File size: 8,784 Bytes 
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---
pipeline_tag: text-generation
base_model: bigcode/starcoder2-15b-instruct-v0.1
datasets:
- bigcode/self-oss-instruct-sc2-exec-filter-50k
license: bigcode-openrail-m
library_name: transformers
tags:
- code
- TensorBlock
- GGUF
model-index:
- name: starcoder2-15b-instruct-v0.1
  results:
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (code generation)
      type: livecodebench-codegeneration
    metrics:
    - type: pass@1
      value: 20.4
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (self repair)
      type: livecodebench-selfrepair
    metrics:
    - type: pass@1
      value: 20.9
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (test output prediction)
      type: livecodebench-testoutputprediction
    metrics:
    - type: pass@1
      value: 29.8
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (code execution)
      type: livecodebench-codeexecution
    metrics:
    - type: pass@1
      value: 28.1
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: humaneval
    metrics:
    - type: pass@1
      value: 72.6
  - task:
      type: text-generation
    dataset:
      name: HumanEval+
      type: humanevalplus
    metrics:
    - type: pass@1
      value: 63.4
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 75.2
  - task:
      type: text-generation
    dataset:
      name: MBPP+
      type: mbppplus
    metrics:
    - type: pass@1
      value: 61.2
  - task:
      type: text-generation
    dataset:
      name: DS-1000
      type: ds-1000
    metrics:
    - type: pass@1
      value: 40.6
---

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## bigcode/starcoder2-15b-instruct-v0.1 - GGUF

This repo contains GGUF format model files for [bigcode/starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).


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</table>
## Prompt template


```
<|endoftext|>You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.

### Instruction
{prompt}

### Response
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [starcoder2-15b-instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q2_K.gguf) | Q2_K | 5.768 GB | smallest, significant quality loss - not recommended for most purposes |
| [starcoder2-15b-instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 6.507 GB | very small, high quality loss |
| [starcoder2-15b-instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 7.492 GB | very small, high quality loss |
| [starcoder2-15b-instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 8.350 GB | small, substantial quality loss |
| [starcoder2-15b-instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q4_0.gguf) | Q4_0 | 8.443 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [starcoder2-15b-instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 8.532 GB | small, greater quality loss |
| [starcoder2-15b-instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 9.183 GB | medium, balanced quality - recommended |
| [starcoder2-15b-instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q5_0.gguf) | Q5_0 | 10.265 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [starcoder2-15b-instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 10.265 GB | large, low quality loss - recommended |
| [starcoder2-15b-instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 10.646 GB | large, very low quality loss - recommended |
| [starcoder2-15b-instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q6_K.gguf) | Q6_K | 12.201 GB | very large, extremely low quality loss |
| [starcoder2-15b-instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/starcoder2-15b-instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q8_0.gguf) | Q8_0 | 15.800 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/starcoder2-15b-instruct-v0.1-GGUF --include "starcoder2-15b-instruct-v0.1-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:

```shell
huggingface-cli download tensorblock/starcoder2-15b-instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```