![TensorBlock](https://i.imgur.com/jC7kdl8.jpeg)
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
curiositytech/MARS-v0.2 - GGUF
This repo contains GGUF format model files for curiositytech/MARS-v0.2.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 26 Jul 2024
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Model file specification
Filename | Quant type | File Size | Description |
---|---|---|---|
MARS-v0.2-Q2_K.gguf | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
MARS-v0.2-Q3_K_S.gguf | Q3_K_S | 3.413 GB | very small, high quality loss |
MARS-v0.2-Q3_K_M.gguf | Q3_K_M | 3.743 GB | very small, high quality loss |
MARS-v0.2-Q3_K_L.gguf | Q3_K_L | 4.025 GB | small, substantial quality loss |
MARS-v0.2-Q4_0.gguf | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
MARS-v0.2-Q4_K_S.gguf | Q4_K_S | 4.370 GB | small, greater quality loss |
MARS-v0.2-Q4_K_M.gguf | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
MARS-v0.2-Q5_0.gguf | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
MARS-v0.2-Q5_K_S.gguf | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
MARS-v0.2-Q5_K_M.gguf | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
MARS-v0.2-Q6_K.gguf | Q6_K | 6.143 GB | very large, extremely low quality loss |
MARS-v0.2-Q8_0.gguf | Q8_0 | 7.954 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/MARS-v0.2-GGUF --include "MARS-v0.2-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/MARS-v0.2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 7
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Model tree for tensorblock/MARS-v0.2-GGUF
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct
Finetuned
curiositytech/MARS-v0.2
Evaluation results
- accuracy on AI2 Reasoning Challenge TR v0.2test set self-reported43.850
- accuracy on HellaSwag TRvalidation set self-reported46.640
- accuracy on TruthfulQA TR v0.2validation set self-reported48.660
- accuracy on Winogrande TR v0.2validation set self-reported52.840
- accuracy on GSM8k TR v0.2test set self-reported59.300