metadata
language:
- en
pipeline_tag: text-generation
tags:
- chat
- qwen
- qwen2
- finetune
- chatml
- OpenHermes-2.5
- HelpSteer2
- Orca
- SlimOrca
- TensorBlock
- GGUF
library_name: transformers
inference: false
model_creator: MaziyarPanahi
quantized_by: MaziyarPanahi
base_model: MaziyarPanahi/calme-2.6-qwen2-7b
model_name: calme-2.6-qwen2-7b
datasets:
- nvidia/HelpSteer2
- teknium/OpenHermes-2.5
- microsoft/orca-math-word-problems-200k
- Open-Orca/SlimOrca
license: apache-2.0
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
MaziyarPanahi/calme-2.6-qwen2-7b - GGUF
This repo contains GGUF format model files for MaziyarPanahi/calme-2.6-qwen2-7b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| calme-2.6-qwen2-7b-Q2_K.gguf | Q2_K | 2.809 GB | smallest, significant quality loss - not recommended for most purposes |
| calme-2.6-qwen2-7b-Q3_K_S.gguf | Q3_K_S | 3.253 GB | very small, high quality loss |
| calme-2.6-qwen2-7b-Q3_K_M.gguf | Q3_K_M | 3.547 GB | very small, high quality loss |
| calme-2.6-qwen2-7b-Q3_K_L.gguf | Q3_K_L | 3.808 GB | small, substantial quality loss |
| calme-2.6-qwen2-7b-Q4_0.gguf | Q4_0 | 4.127 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| calme-2.6-qwen2-7b-Q4_K_S.gguf | Q4_K_S | 4.152 GB | small, greater quality loss |
| calme-2.6-qwen2-7b-Q4_K_M.gguf | Q4_K_M | 4.361 GB | medium, balanced quality - recommended |
| calme-2.6-qwen2-7b-Q5_0.gguf | Q5_0 | 4.950 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| calme-2.6-qwen2-7b-Q5_K_S.gguf | Q5_K_S | 4.950 GB | large, low quality loss - recommended |
| calme-2.6-qwen2-7b-Q5_K_M.gguf | Q5_K_M | 5.071 GB | large, very low quality loss - recommended |
| calme-2.6-qwen2-7b-Q6_K.gguf | Q6_K | 5.825 GB | very large, extremely low quality loss |
| calme-2.6-qwen2-7b-Q8_0.gguf | Q8_0 | 7.542 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/calme-2.6-qwen2-7b-GGUF --include "calme-2.6-qwen2-7b-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/calme-2.6-qwen2-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'