---
license: apache-2.0
datasets:
- ChengsenWang/ChatTime-1-Finetune-100K
base_model: ChengsenWang/ChatTime-1-7B-Chat
tags:
- time-series
- pretrained-model
- foundation-model
- multimodality
- multimodal-time-series-foundation-model
- TensorBlock
- GGUF
pipeline_tag: time-series-forecasting
---

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## ChengsenWang/ChatTime-1-7B-Chat - GGUF

This repo contains GGUF format model files for [ChengsenWang/ChatTime-1-7B-Chat](https://huggingface.co/ChengsenWang/ChatTime-1-7B-Chat).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).

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## Prompt template

```

```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [ChatTime-1-7B-Chat-Q2_K.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q2_K.gguf) | Q2_K | 2.580 GB | smallest, significant quality loss - not recommended for most purposes |
| [ChatTime-1-7B-Chat-Q3_K_S.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q3_K_S.gguf) | Q3_K_S | 3.000 GB | very small, high quality loss |
| [ChatTime-1-7B-Chat-Q3_K_M.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q3_K_M.gguf) | Q3_K_M | 3.349 GB | very small, high quality loss |
| [ChatTime-1-7B-Chat-Q3_K_L.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q3_K_L.gguf) | Q3_K_L | 3.649 GB | small, substantial quality loss |
| [ChatTime-1-7B-Chat-Q4_0.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q4_0.gguf) | Q4_0 | 3.883 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [ChatTime-1-7B-Chat-Q4_K_S.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q4_K_S.gguf) | Q4_K_S | 3.914 GB | small, greater quality loss |
| [ChatTime-1-7B-Chat-Q4_K_M.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q4_K_M.gguf) | Q4_K_M | 4.138 GB | medium, balanced quality - recommended |
| [ChatTime-1-7B-Chat-Q5_0.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q5_0.gguf) | Q5_0 | 4.714 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [ChatTime-1-7B-Chat-Q5_K_S.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q5_K_S.gguf) | Q5_K_S | 4.714 GB | large, low quality loss - recommended |
| [ChatTime-1-7B-Chat-Q5_K_M.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q5_K_M.gguf) | Q5_K_M | 4.845 GB | large, very low quality loss - recommended |
| [ChatTime-1-7B-Chat-Q6_K.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q6_K.gguf) | Q6_K | 5.597 GB | very large, extremely low quality loss |
| [ChatTime-1-7B-Chat-Q8_0.gguf](https://huggingface.co/tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF/blob/main/ChatTime-1-7B-Chat-Q8_0.gguf) | Q8_0 | 7.248 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/ChengsenWang_ChatTime-1-7B-Chat-GGUF --include "ChatTime-1-7B-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/ChengsenWang_ChatTime-1-7B-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```