Instructions to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO")
model = PeftModel.from_pretrained(base_model, "AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing 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 AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing: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 AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing: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 AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M

Use Docker

docker model run hf.co/AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M

LM Studio
Jan
Ollama
How to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing with Ollama:
```
ollama run hf.co/AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M
```

Unsloth Studio

How to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing 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 AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing 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 AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing to start chatting

Docker Model Runner
How to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing with Docker Model Runner:
```
docker model run hf.co/AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M
```

Lemonade

How to use AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing:Q4_K_M

Run and chat with the model

lemonade run user.Nous-Hermes-2-Mistral-7B-DPO-german-phishing-Q4_K_M

List all available models

lemonade list

Atomic Chat

See axolotl config

axolotl version: 0.8.0.dev0

base_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
load_in_8bit: true
load_in_4bit: false
bf16: auto
gradient_checkpointing: true

sequence_len: 4096
max_prompt_len: 512
tokenizer_use_fast: true

adapter: lora
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
  - q_proj
  - v_proj
  - k_proj
  - o_proj
  - gate_proj
  - down_proj
  - up_proj

datasets:
  - path: AndyAT/Phishing_indicators
    type: alpaca
    train_file: train_alpaca.jsonl
    validation_file: val_alpaca.jsonl
    test_file: test_alpaca.jsonl
    trust_remote_code: true

dataset_processes: 32
val_set_size: 0.001
shuffle_merged_datasets: true

num_epochs: 1.0
micro_batch_size: 2
gradient_accumulation_steps: 32
optimizer: adamw_bnb_8bit
learning_rate: 0.0002
lr_scheduler: cosine
weight_decay: 0.0

output_dir: ./outputs/mistral7b_phishing
save_strategy: steps
save_steps: 100
save_total_limit: 3
save_safetensors: true

evaluation_strategy: steps
eval_steps: 100
load_best_model_at_end: true

logging_steps: 10

trl:
  use_vllm: false

train_on_inputs: false
group_by_length: true

seed: 42

outputs/mistral7b_phishing

This model is a fine-tuned version of NousResearch/Nous-Hermes-2-Mistral-7B-DPO on the AndyAT/Phishing_indicators dataset. It achieves the following results on the evaluation set:

Loss: 0.2807

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 9
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0033	1	1.2508
0.347	0.3333	100	0.4167
0.3203	0.6665	200	0.3208
0.3171	0.9998	300	0.2807

Framework versions

PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Downloads last month: 42

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

16-bit

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Model tree for AndyAT/Nous-Hermes-2-Mistral-7B-DPO-german-phishing

Base model

mistralai/Mistral-7B-v0.1

Finetuned

NousResearch/Nous-Hermes-2-Mistral-7B-DPO

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