metadata
license: mit
datasets:
- lgaalves/camel-ai-physics
language:
- en
pipeline_tag: text-generation
tags:
- TensorBlock
- GGUF
base_model: lgaalves/gpt-2-xl_camel-ai-physics
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
lgaalves/gpt-2-xl_camel-ai-physics - GGUF
This repo contains GGUF format model files for lgaalves/gpt-2-xl_camel-ai-physics.
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 |
|---|---|---|---|
| gpt-2-xl_camel-ai-physics-Q2_K.gguf | Q2_K | 0.862 GB | smallest, significant quality loss - not recommended for most purposes |
| gpt-2-xl_camel-ai-physics-Q3_K_S.gguf | Q3_K_S | 0.862 GB | very small, high quality loss |
| gpt-2-xl_camel-ai-physics-Q3_K_M.gguf | Q3_K_M | 0.993 GB | very small, high quality loss |
| gpt-2-xl_camel-ai-physics-Q3_K_L.gguf | Q3_K_L | 1.058 GB | small, substantial quality loss |
| gpt-2-xl_camel-ai-physics-Q4_0.gguf | Q4_0 | 0.927 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gpt-2-xl_camel-ai-physics-Q4_K_S.gguf | Q4_K_S | 1.058 GB | small, greater quality loss |
| gpt-2-xl_camel-ai-physics-Q4_K_M.gguf | Q4_K_M | 1.137 GB | medium, balanced quality - recommended |
| gpt-2-xl_camel-ai-physics-Q5_0.gguf | Q5_0 | 1.112 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gpt-2-xl_camel-ai-physics-Q5_K_S.gguf | Q5_K_S | 1.173 GB | large, low quality loss - recommended |
| gpt-2-xl_camel-ai-physics-Q5_K_M.gguf | Q5_K_M | 1.321 GB | large, very low quality loss - recommended |
| gpt-2-xl_camel-ai-physics-Q6_K.gguf | Q6_K | 1.545 GB | very large, extremely low quality loss |
| gpt-2-xl_camel-ai-physics-Q8_0.gguf | Q8_0 | 1.665 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/lgaalves_gpt-2-xl_camel-ai-physics-GGUF --include "gpt-2-xl_camel-ai-physics-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/lgaalves_gpt-2-xl_camel-ai-physics-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'