---
language:
- en
license: other
tags:
- causal-lm
- TensorBlock
- GGUF
datasets:
- HuggingFaceH4/ultrachat_200k
- allenai/ultrafeedback_binarized_cleaned
- meta-math/MetaMathQA
- WizardLM/WizardLM_evol_instruct_V2_196k
- openchat/openchat_sharegpt4_dataset
- LDJnr/Capybara
- Intel/orca_dpo_pairs
- hkust-nlp/deita-10k-v0
- Anthropic/hh-rlhf
- glaiveai/glaive-function-calling-v2
extra_gated_fields:
  Name: text
  Email: text
  Country: text
  Organization or Affiliation: text
  I ALLOW Stability AI to email me about new model releases: checkbox
base_model: stabilityai/stablelm-2-12b-chat
---

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</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
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        <p style="margin-top: 0.5em; margin-bottom: 0em;">
            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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## stabilityai/stablelm-2-12b-chat - GGUF

This repo contains GGUF format model files for [stabilityai/stablelm-2-12b-chat](https://huggingface.co/stabilityai/stablelm-2-12b-chat).

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).

## Prompt template

```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [stablelm-2-12b-chat-Q2_K.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q2_K.gguf) | Q2_K | 4.376 GB | smallest, significant quality loss - not recommended for most purposes |
| [stablelm-2-12b-chat-Q3_K_S.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q3_K_S.gguf) | Q3_K_S | 5.052 GB | very small, high quality loss |
| [stablelm-2-12b-chat-Q3_K_M.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q3_K_M.gguf) | Q3_K_M | 5.582 GB | very small, high quality loss |
| [stablelm-2-12b-chat-Q3_K_L.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q3_K_L.gguf) | Q3_K_L | 6.046 GB | small, substantial quality loss |
| [stablelm-2-12b-chat-Q4_0.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q4_0.gguf) | Q4_0 | 6.490 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [stablelm-2-12b-chat-Q4_K_S.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q4_K_S.gguf) | Q4_K_S | 6.535 GB | small, greater quality loss |
| [stablelm-2-12b-chat-Q4_K_M.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q4_K_M.gguf) | Q4_K_M | 6.862 GB | medium, balanced quality - recommended |
| [stablelm-2-12b-chat-Q5_0.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q5_0.gguf) | Q5_0 | 7.844 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [stablelm-2-12b-chat-Q5_K_S.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q5_K_S.gguf) | Q5_K_S | 7.844 GB | large, low quality loss - recommended |
| [stablelm-2-12b-chat-Q5_K_M.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q5_K_M.gguf) | Q5_K_M | 8.035 GB | large, very low quality loss - recommended |
| [stablelm-2-12b-chat-Q6_K.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q6_K.gguf) | Q6_K | 9.282 GB | very large, extremely low quality loss |
| [stablelm-2-12b-chat-Q8_0.gguf](https://huggingface.co/tensorblock/stablelm-2-12b-chat-GGUF/tree/main/stablelm-2-12b-chat-Q8_0.gguf) | Q8_0 | 12.021 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/stablelm-2-12b-chat-GGUF --include "stablelm-2-12b-chat-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/stablelm-2-12b-chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```