Views
No views yet
| Forge | |
|---|---|
 | |
| An OpenAI-compatible multi-provider routing layer. | |
| 🚀 Try it now! 🚀 | |
| 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 👀 |
A conversation between User and Assistant. The User asks a question, and the Assistant solves it. The Assistant first thinks about the reasoning process in the mind and then provides the User with the answer. The reasoning process is enclosed within <think> </think> and answer is enclosed within <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. User: You must put your answer inside <answer> </answer> tags, i.e., <answer> answer here </answer>. And your final answer will be extracted automatically by the \boxed{} tag.
This is the problem:
{prompt}
Assistant: <think>| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Qwen2.5-3B-orz-Q2_K.gguf | Q2_K | 1.275 GB | smallest, significant quality loss - not recommended for most purposes |
| Qwen2.5-3B-orz-Q3_K_S.gguf | Q3_K_S | 1.454 GB | very small, high quality loss |
| Qwen2.5-3B-orz-Q3_K_M.gguf | Q3_K_M | 1.590 GB | very small, high quality loss |
| Qwen2.5-3B-orz-Q3_K_L.gguf | Q3_K_L | 1.707 GB | small, substantial quality loss |
| Qwen2.5-3B-orz-Q4_0.gguf | Q4_0 | 1.823 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Qwen2.5-3B-orz-Q4_K_S.gguf | Q4_K_S | 1.834 GB | small, greater quality loss |
| Qwen2.5-3B-orz-Q4_K_M.gguf | Q4_K_M | 1.930 GB | medium, balanced quality - recommended |
| Qwen2.5-3B-orz-Q5_0.gguf | Q5_0 | 2.170 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Qwen2.5-3B-orz-Q5_K_S.gguf | Q5_K_S | 2.170 GB | large, low quality loss - recommended |
| Qwen2.5-3B-orz-Q5_K_M.gguf | Q5_K_M | 2.225 GB | large, very low quality loss - recommended |
| Qwen2.5-3B-orz-Q6_K.gguf | Q6_K | 2.538 GB | very large, extremely low quality loss |
| Qwen2.5-3B-orz-Q8_0.gguf | Q8_0 | 3.285 GB | very large, extremely low quality loss - not recommended |
pip install -U "huggingface_hub[cli]"huggingface-cli download tensorblock/zwhe99_Qwen2.5-3B-orz-GGUF --include "Qwen2.5-3B-orz-Q2_K.gguf" --local-dir MY_LOCAL_DIR*Q4_K*gguf), you can try:huggingface-cli download tensorblock/zwhe99_Qwen2.5-3B-orz-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'