---
license: apache-2.0
language:
- en
datasets:
- allenai/RLVR-MATH
base_model: allenai/OLMo-2-0425-1B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags:
- TensorBlock
- GGUF
---

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## allenai/OLMo-2-0425-1B-Instruct - GGUF

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        Join our Discord to learn more about what we're building ↗
    </a>
</div>

This repo contains GGUF format model files for [allenai/OLMo-2-0425-1B-Instruct](https://huggingface.co/allenai/OLMo-2-0425-1B-Instruct).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).

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## Prompt template

```
<|endoftext|><|system|>
{system_prompt}
<|user|>
{prompt}
<|assistant|>
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [OLMo-2-0425-1B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q2_K.gguf) | Q2_K | 0.633 GB | smallest, significant quality loss - not recommended for most purposes |
| [OLMo-2-0425-1B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q3_K_S.gguf) | Q3_K_S | 0.722 GB | very small, high quality loss |
| [OLMo-2-0425-1B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q3_K_M.gguf) | Q3_K_M | 0.779 GB | very small, high quality loss |
| [OLMo-2-0425-1B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q3_K_L.gguf) | Q3_K_L | 0.826 GB | small, substantial quality loss |
| [OLMo-2-0425-1B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q4_0.gguf) | Q4_0 | 0.892 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [OLMo-2-0425-1B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q4_K_S.gguf) | Q4_K_S | 0.899 GB | small, greater quality loss |
| [OLMo-2-0425-1B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q4_K_M.gguf) | Q4_K_M | 0.936 GB | medium, balanced quality - recommended |
| [OLMo-2-0425-1B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q5_0.gguf) | Q5_0 | 1.052 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [OLMo-2-0425-1B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q5_K_S.gguf) | Q5_K_S | 1.052 GB | large, low quality loss - recommended |
| [OLMo-2-0425-1B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q5_K_M.gguf) | Q5_K_M | 1.074 GB | large, very low quality loss - recommended |
| [OLMo-2-0425-1B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q6_K.gguf) | Q6_K | 1.222 GB | very large, extremely low quality loss |
| [OLMo-2-0425-1B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/allenai_OLMo-2-0425-1B-Instruct-GGUF/blob/main/OLMo-2-0425-1B-Instruct-Q8_0.gguf) | Q8_0 | 1.582 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/allenai_OLMo-2-0425-1B-Instruct-GGUF --include "OLMo-2-0425-1B-Instruct-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/allenai_OLMo-2-0425-1B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```