YAML Metadata
Warning:
The pipeline tag "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, other

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
Sirius27/BeingWell_llama2_7b - GGUF
This repo contains GGUF format model files for Sirius27/BeingWell_llama2_7b.
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. |
π See what we built π | π See what we built π |
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 |
---|---|---|---|
BeingWell_llama2_7b-Q2_K.gguf | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
BeingWell_llama2_7b-Q3_K_S.gguf | Q3_K_S | 2.948 GB | very small, high quality loss |
BeingWell_llama2_7b-Q3_K_M.gguf | Q3_K_M | 3.298 GB | very small, high quality loss |
BeingWell_llama2_7b-Q3_K_L.gguf | Q3_K_L | 3.597 GB | small, substantial quality loss |
BeingWell_llama2_7b-Q4_0.gguf | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
BeingWell_llama2_7b-Q4_K_S.gguf | Q4_K_S | 3.857 GB | small, greater quality loss |
BeingWell_llama2_7b-Q4_K_M.gguf | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
BeingWell_llama2_7b-Q5_0.gguf | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
BeingWell_llama2_7b-Q5_K_S.gguf | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
BeingWell_llama2_7b-Q5_K_M.gguf | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
BeingWell_llama2_7b-Q6_K.gguf | Q6_K | 5.529 GB | very large, extremely low quality loss |
BeingWell_llama2_7b-Q8_0.gguf | Q8_0 | 7.161 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/Sirius27_BeingWell_llama2_7b-GGUF --include "BeingWell_llama2_7b-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/Sirius27_BeingWell_llama2_7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 124
Hardware compatibility
Log In
to view the estimation
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
π
Ask for provider support
Model tree for tensorblock/Sirius27_BeingWell_llama2_7b-GGUF
Base model
Sirius27/BeingWell_llama2_7b