Instructions to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AlekseiPravdin/KSI-RPG-128k-7B-gguf",
	filename="KSI-RPG-128k-7B.q2_k.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AlekseiPravdin/KSI-RPG-128k-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 AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AlekseiPravdin/KSI-RPG-128k-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 AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M

Use Docker

docker model run hf.co/AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with Ollama:
```
ollama run hf.co/AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M
```

Unsloth Studio

How to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AlekseiPravdin/KSI-RPG-128k-7B-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AlekseiPravdin/KSI-RPG-128k-7B-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AlekseiPravdin/KSI-RPG-128k-7B-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with Docker Model Runner:
```
docker model run hf.co/AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M
```

Lemonade

How to use AlekseiPravdin/KSI-RPG-128k-7B-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AlekseiPravdin/KSI-RPG-128k-7B-gguf:Q4_K_M

Run and chat with the model

lemonade run user.KSI-RPG-128k-7B-gguf-Q4_K_M

List all available models

lemonade list

KSI-RPG-128k-7B-gguf / README.md

AlekseiPravdin

Update README.md

f978bbf verified about 2 years ago

preview code

raw

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	---
	license: apache-2.0
	tags:
	- merge
	- mergekit
	- lazymergekit
	- AlekseiPravdin/KSI-RP-NSK-128k-7B
	- flammenai/flammen18X-mistral-7B
	- gguf
	- Q2_K
	- Q3_K_L
	- Q3_K_M
	- Q3_K_S
	- Q4_0
	- Q4_1
	- Q4_K_S
	- Q4_k_m
	- Q5_0
	- Q5_1
	- Q6_K
	- Q5_K_S
	- Q5_k_m
	- Q8_0
	- 128k
	language:
	- en
	- ru
	- th
	---

	# KSI-RPG-128k-7B-GGUF ⭐️⭐️⭐️

	KSI-RPG-128k-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
	* [AlekseiPravdin/KSI-RP-NSK-128k-7B](https://huggingface.co/AlekseiPravdin/KSI-RP-NSK-128k-7B)
	* [flammenai/flammen18X-mistral-7B](https://huggingface.co/flammenai/flammen18X-mistral-7B)

	## 🧩 Configuration

	```yaml
	slices:
	- sources:
	- model: AlekseiPravdin/KSI-RP-NSK-128k-7B
	layer_range: [0, 32]
	- model: flammenai/flammen18X-mistral-7B
	layer_range: [0, 32]
	merge_method: slerp
	base_model: AlekseiPravdin/KSI-RP-NSK-128k-7B
	parameters:
	t:
	- filter: self_attn
	value: [0, 0.5, 0.3, 0.7, 1]
	- filter: mlp
	value: [1, 0.5, 0.7, 0.3, 0]
	- value: 0.5
	dtype: bfloat16

	```

	Eval embedding benchmark (with 70 specific quesions):

	![inf.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/UbeMfW28pMHSRLsSbEsJB.jpeg)
	![md28g.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/6UNV3CaKdofeAUr7C7x9k.jpeg)
	![SK.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/uSnHhxDCqo9DP9oSb_l6j.jpeg)
	![ks-inf.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/1ekTvK84ZlEsFFOYWOHE4.jpeg)
	![command-r.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/5lVz28EK07RmrUe49y4jn.jpeg)
	![NSK.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/aNdIdS5MnkwJ9YhprGznw.jpeg)
	![NSMv2.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/vk2GpfnJnYS5u1_wA1Nhr.jpeg)
	![aura.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/A3m0DC5E2x7V7UCbS1iCf.jpeg)
	![ivanDrogo.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/DaQIw6z8c-SupynTm9qos.jpeg)
	![KSI.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/EfEHDxVcAypb5YLDk_rQJ.jpeg)
	![KSI-RPG.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/GcaNTCIeOCQVkPOFcXYQZ.jpeg)
	![llama3.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/4ArRqUwGrUdqkAWRoXTrz.jpeg)
	![KSIF.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/mjcseCUTesOztZrPg6GpI.jpeg)
	![d29l38.jpg](https://cdn-uploads.huggingface.co/production/uploads/6404a7eaad54665351d89135/T6d2KBRO42K30diFWzvkt.jpeg)