metadata
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
widget:
- text: >-
<human>: Write an email to my friends inviting them to come to my home on
Friday for a dinner party, bring their own food to share.
<bot>:
example_title: Email Writing
- text: |-
<human>: Create a list of things to do in San Francisco
<bot>:
example_title: Brainstorming
inference:
parameters:
temperature: 0.7
top_p: 0.7
top_k: 50
max_new_tokens: 128
tags:
- TensorBlock
- GGUF
base_model: togethercomputer/RedPajama-INCITE-Chat-3B-v1
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
togethercomputer/RedPajama-INCITE-Chat-3B-v1 - GGUF
This repo contains GGUF format model files for togethercomputer/RedPajama-INCITE-Chat-3B-v1.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Our projects
| Awesome MCP Servers | TensorBlock Studio |
|---|---|
 |
 |
| A comprehensive collection of Model Context Protocol (MCP) servers. | A lightweight, open, and extensible multi-LLM interaction studio. |
| 👀 See what we built 👀 | 👀 See what we built 👀 |
Prompt template
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| RedPajama-INCITE-Chat-3B-v1-Q2_K.gguf | Q2_K | 1.087 GB | smallest, significant quality loss - not recommended for most purposes |
| RedPajama-INCITE-Chat-3B-v1-Q3_K_S.gguf | Q3_K_S | 1.249 GB | very small, high quality loss |
| RedPajama-INCITE-Chat-3B-v1-Q3_K_M.gguf | Q3_K_M | 1.478 GB | very small, high quality loss |
| RedPajama-INCITE-Chat-3B-v1-Q3_K_L.gguf | Q3_K_L | 1.603 GB | small, substantial quality loss |
| RedPajama-INCITE-Chat-3B-v1-Q4_0.gguf | Q4_0 | 1.600 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| RedPajama-INCITE-Chat-3B-v1-Q4_K_S.gguf | Q4_K_S | 1.613 GB | small, greater quality loss |
| RedPajama-INCITE-Chat-3B-v1-Q4_K_M.gguf | Q4_K_M | 1.787 GB | medium, balanced quality - recommended |
| RedPajama-INCITE-Chat-3B-v1-Q5_0.gguf | Q5_0 | 1.931 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| RedPajama-INCITE-Chat-3B-v1-Q5_K_S.gguf | Q5_K_S | 1.931 GB | large, low quality loss - recommended |
| RedPajama-INCITE-Chat-3B-v1-Q5_K_M.gguf | Q5_K_M | 2.070 GB | large, very low quality loss - recommended |
| RedPajama-INCITE-Chat-3B-v1-Q6_K.gguf | Q6_K | 2.282 GB | very large, extremely low quality loss |
| RedPajama-INCITE-Chat-3B-v1-Q8_0.gguf | Q8_0 | 2.954 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/togethercomputer_RedPajama-INCITE-Chat-3B-v1-GGUF --include "RedPajama-INCITE-Chat-3B-v1-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:
huggingface-cli download tensorblock/togethercomputer_RedPajama-INCITE-Chat-3B-v1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'