Instructions to use saishf/Top-Western-Maid-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use saishf/Top-Western-Maid-7B-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use saishf/Top-Western-Maid-7B-GGUF with Ollama:
ollama run hf.co/saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use saishf/Top-Western-Maid-7B-GGUF with Docker Model Runner:
docker model run hf.co/saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
- Lemonade
How to use saishf/Top-Western-Maid-7B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saishf/Top-Western-Maid-7B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Top-Western-Maid-7B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload 6 files
Browse files- .gitattributes +5 -0
- README.md +54 -0
- Top-Western-Maid-7B-Q2_K.gguf +3 -0
- Top-Western-Maid-7B-Q3_K_M.gguf +3 -0
- Top-Western-Maid-7B-Q4_K_M.gguf +3 -0
- Top-Western-Maid-7B-Q5_K_M.gguf +3 -0
- Top-Western-Maid-7B-Q6_K.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Top-Western-Maid-7B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- NeverSleep/Noromaid-7B-0.4-DPO
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- Undi95/Toppy-M-7B
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- mistralai/Mistral-7B-v0.1
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- senseable/WestLake-7B-v2
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
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### Models Merged
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The following models were included in the merge:
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* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
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* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B)
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: senseable/WestLake-7B-v2
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parameters:
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density: 0.53
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weight: 0.55
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- model: NeverSleep/Noromaid-7B-0.4-DPO
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parameters:
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density: 0.53
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weight: 0.30
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- model: Undi95/Toppy-M-7B
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parameters:
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density: 0.53
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weight: 0.15
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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version https://git-lfs.github.com/spec/v1
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oid sha256:22f0ab612b3c373c07a4bd117d48c5b71b17484c384790b888e3492f72277b6c
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size 2719241920
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 5131409088
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version https://git-lfs.github.com/spec/v1
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oid sha256:52f26591d3c8c32650d976788a19157ba16c6f6f3eb572e463862c24b7b96f81
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