Instructions to use 1234vlad/mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 1234vlad/mirror with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="1234vlad/mirror",
	filename="text_encoders/gemma-3-12b-it-IQ4_XS.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use 1234vlad/mirror with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 1234vlad/mirror:IQ4_XS
# Run inference directly in the terminal:
llama-cli -hf 1234vlad/mirror:IQ4_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 1234vlad/mirror:IQ4_XS
# Run inference directly in the terminal:
llama-cli -hf 1234vlad/mirror:IQ4_XS

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 1234vlad/mirror:IQ4_XS
# Run inference directly in the terminal:
./llama-cli -hf 1234vlad/mirror:IQ4_XS

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 1234vlad/mirror:IQ4_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 1234vlad/mirror:IQ4_XS

Use Docker

docker model run hf.co/1234vlad/mirror:IQ4_XS

LM Studio
Jan
Ollama
How to use 1234vlad/mirror with Ollama:
```
ollama run hf.co/1234vlad/mirror:IQ4_XS
```

Unsloth Studio new

How to use 1234vlad/mirror 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 1234vlad/mirror 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 1234vlad/mirror to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 1234vlad/mirror to start chatting

Docker Model Runner
How to use 1234vlad/mirror with Docker Model Runner:
```
docker model run hf.co/1234vlad/mirror:IQ4_XS
```

Lemonade

How to use 1234vlad/mirror with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 1234vlad/mirror:IQ4_XS

Run and chat with the model

lemonade run user.mirror-IQ4_XS

List all available models

lemonade list

1234vlad commited on 1 day ago

Commit

b49a051

verified ·

1 Parent(s): eb2eedb

Upload folder using huggingface_hub

Browse files

Files changed (13) hide show

foley/hunyuanvideo_foley_fp8_e4m3fn.safetensors +3 -0
foley/synchformer_state_dict_fp16.safetensors +3 -0
foley/vae_128d_48k_fp16.safetensors +3 -0
loras/wan/SVI_v2_PRO_Wan2.2-I2V-A14B_LOW_lora_rank_128_fp16.safetensors +3 -0
loras/wan/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors +3 -0
loras/wan/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors +3 -0
loras/wan/wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022.safetensors +3 -0
loras/wan/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors +3 -0
mmaudio/mmaudio_large_44k_nsfw_gold_8.5k_final_fp16.safetensors +3 -0
mmaudio/mmaudio_synchformer_fp16.safetensors +3 -0
mmaudio/mmaudio_vae_44k_fp16.safetensors +3 -0
text_encoders/nsfw_wan_umt5-xxl_fp8_scaled.safetensors +3 -0
vae/wan_2.1_vae.safetensors +3 -0

+version https://git-lfs.github.com/spec/v1
+oid sha256:1b2fa56b9d9bd0c89f3d7e486f9f00032f247cf10dd860cc6d7f0b734bca8a31
+size 5341941120

+version https://git-lfs.github.com/spec/v1
+oid sha256:4876e7dc86cd255bcf79540d93838362aed2e8a9d6f4574a92728c9fc699f511
+size 474981066

+version https://git-lfs.github.com/spec/v1
+oid sha256:216fdd5a4c9774417b209a5d1754db5326c9f47375b232cce1333c13b3f239ab
+size 743210820

+version https://git-lfs.github.com/spec/v1
+oid sha256:eae247da55aab0ee67f8ad99fa46aac09b69156e2ae7080b4737d611780aa7af
+size 1226934120

+version https://git-lfs.github.com/spec/v1
+oid sha256:2c4d41a22b0c16dc360570dfa12b53b2b5452338935eb8ea24bf40d2ada89bd0
+size 630697104

+version https://git-lfs.github.com/spec/v1
+oid sha256:5c324ada09cfa447844f5d9a57240463a515de38270ef40c7513d74be3e64e72
+size 1466506280

+version https://git-lfs.github.com/spec/v1
+oid sha256:8833bd4fd7c8eabebf0bc8ee5cfaf47f4f310ce116928a02c1adf8941dd4b0f1
+size 739472104

+version https://git-lfs.github.com/spec/v1
+oid sha256:d176c808d6fc461999b68e321efcb7501b20b8c3797523ed0df14f7d1deff11e
+size 1226977424

+version https://git-lfs.github.com/spec/v1
+oid sha256:f30ab5d3aa0add25fa6c5894a00fa72bad28673125a1618e1c082b70ed7b573a
+size 2060050528

+version https://git-lfs.github.com/spec/v1
+oid sha256:b8d05128c76da6ee88720a89d25a5f86c603589883d02b53f563c3c66afe3581
+size 474981098

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2598189f081bd10c86975106e5b6e2490168667429a75b52d77671283f245649
+size 610966060

+version https://git-lfs.github.com/spec/v1
+oid sha256:a484bb9739a8d4020ca6f072b5b7329cf13e352b06985497c1f7f81ea98a45c5
+size 6735887993

+version https://git-lfs.github.com/spec/v1
+oid sha256:2fc39d31359a4b0a64f55876d8ff7fa8d780956ae2cb13463b0223e15148976b
+size 253815318