Instructions to use QuantFactory/Vapor_7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/Vapor_7B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("QuantFactory/Vapor_7B-GGUF", dtype="auto")

llama-cpp-python

How to use QuantFactory/Vapor_7B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/Vapor_7B-GGUF",
	filename="Vapor_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 QuantFactory/Vapor_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 QuantFactory/Vapor_7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Vapor_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 QuantFactory/Vapor_7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Vapor_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 QuantFactory/Vapor_7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Vapor_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 QuantFactory/Vapor_7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Vapor_7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/Vapor_7B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/Vapor_7B-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/Vapor_7B-GGUF:Q4_K_M
```

Unsloth Studio

How to use QuantFactory/Vapor_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 QuantFactory/Vapor_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 QuantFactory/Vapor_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 QuantFactory/Vapor_7B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use QuantFactory/Vapor_7B-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/Vapor_7B-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/Vapor_7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/Vapor_7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Vapor_7B-GGUF-Q4_K_M

List all available models

lemonade list

Improve language tag

by lbourdois - opened Apr 27, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+128

-117

Files changed (1) hide show

README.md +128 -117

README.md CHANGED Viewed

@@ -1,117 +1,128 @@
----
-license: apache-2.0
-base_model:
-- Qwen/Qwen2.5-7B
-library_name: transformers
----
-[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
-# QuantFactory/Vapor_7B-GGUF
-This is quantized version of [FourOhFour/Vapor_7B](https://huggingface.co/FourOhFour/Vapor_7B) created using llama.cpp
-# Original Model Card
-```
-base_model: Qwen/Qwen2.5-7B
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-datasets:
-  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
-    type: sharegpt
-    conversation: chatml
-  - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
-    type: sharegpt
-    conversation: chatml
-  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
-    type: sharegpt
-    conversation: chatml
-  - path: NewEden/Gryphe-Sonnet-3.5-35k-Subset
-    type: sharegpt
-    conversation: chatml
-  - path: Nitral-AI/Reasoning-1shot_ShareGPT
-    type: sharegpt
-    conversation: chatml
-  - path: Nitral-AI/GU_Instruct-ShareGPT
-    type: sharegpt
-    conversation: chatml
-  - path: Nitral-AI/Medical_Instruct-ShareGPT
-    type: sharegpt
-    conversation: chatml
-chat_template: chatml
-val_set_size: 0.01
-output_dir: ./outputs/out
-adapter:
-lora_r:
-lora_alpha:
-lora_dropout:
-lora_target_linear:
-sequence_len: 8192
-# sequence_len: 32768
-sample_packing: true
-eval_sample_packing: false
-pad_to_sequence_len: true
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-wandb_project: qwen7B
-wandb_entity:
-wandb_watch:
-wandb_name: qwen7B
-wandb_log_model:
-gradient_accumulation_steps: 32
-micro_batch_size: 1
-num_epochs: 2
-optimizer: adamw_bnb_8bit
-lr_scheduler: cosine
-learning_rate: 0.00001
-weight_decay: 0.05
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: true
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-warmup_ratio: 0.1
-evals_per_epoch: 4
-eval_table_size:
-eval_max_new_tokens: 128
-saves_per_epoch: 2
-debug:
-deepspeed:
-fsdp:
-fsdp_config:
-special_tokens:
-  pad_token: <pad>
-```

+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-7B
+library_name: transformers
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+# QuantFactory/Vapor_7B-GGUF
+This is quantized version of [FourOhFour/Vapor_7B](https://huggingface.co/FourOhFour/Vapor_7B) created using llama.cpp
+# Original Model Card
+```
+base_model: Qwen/Qwen2.5-7B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+datasets:
+  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Gryphe-Sonnet-3.5-35k-Subset
+    type: sharegpt
+    conversation: chatml
+  - path: Nitral-AI/Reasoning-1shot_ShareGPT
+    type: sharegpt
+    conversation: chatml
+  - path: Nitral-AI/GU_Instruct-ShareGPT
+    type: sharegpt
+    conversation: chatml
+  - path: Nitral-AI/Medical_Instruct-ShareGPT
+    type: sharegpt
+    conversation: chatml
+chat_template: chatml
+val_set_size: 0.01
+output_dir: ./outputs/out
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+sequence_len: 8192
+# sequence_len: 32768
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+wandb_project: qwen7B
+wandb_entity:
+wandb_watch:
+wandb_name: qwen7B
+wandb_log_model:
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001
+weight_decay: 0.05
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 2
+debug:
+deepspeed:
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <pad>
+```