Instructions to use rAIfle/0x01-8x7b-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rAIfle/0x01-8x7b-hf with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="rAIfle/0x01-8x7b-hf")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("rAIfle/0x01-8x7b-hf")
model = AutoModelForCausalLM.from_pretrained("rAIfle/0x01-8x7b-hf")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use rAIfle/0x01-8x7b-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rAIfle/0x01-8x7b-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rAIfle/0x01-8x7b-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/rAIfle/0x01-8x7b-hf

SGLang

How to use rAIfle/0x01-8x7b-hf with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "rAIfle/0x01-8x7b-hf" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rAIfle/0x01-8x7b-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "rAIfle/0x01-8x7b-hf" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rAIfle/0x01-8x7b-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use rAIfle/0x01-8x7b-hf with Docker Model Runner:
```
docker model run hf.co/rAIfle/0x01-8x7b-hf
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

0x01-8x7B-hf

here we go again. multi-step merge, various models involved at various ratios with various methods.

this thing came to me in a fever dream when I was hung over, but after slightly tweaking the recipe it turned out surprisingly decent. using with the settings included.

Update:

The following settings have proved to work good too:

Context: https://files.catbox.moe/q91rca.json
Instruct: https://files.catbox.moe/2w8ja2.json
Textgen: https://files.catbox.moe/s25rad.json

Constituent parts

# primordial_slop_a:
  - model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
  - model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_Medicine
  - model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_WuKurtz
  - model: mistralai/Mixtral-8x7B-v0.1+Epiculous/crunchy-onion-lora
  - model: mistralai/Mixtral-8x7B-v0.1+maxkretchmer/gc-mixtral
# primordial_slop_b:
  - model: Envoid/Mixtral-Instruct-ITR-8x7B
  - model: crestf411/daybreak-mixtral-8x7b-v1.0-hf
  - model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
  - model: orangetin/OpenHermes-Mixtral-8x7B
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+idegroup/PhyAssistant
  - model: ycros/crunchy-onion-nx
  - model: jondurbin/bagel-dpo-8x7b-v0.2
  - model: amoldwalunj/Mixtral-8x7B-Instruct-v0.1-legal_finetune_mixtral_32k
# primordial_slop_c: a+b
# primordial_slop_d:
  - model: Sao10K/Sensualize-Mixtral-bf16
  - model: Envoid/Mixtral-Instruct-ITR-DADA-8x7B

Quantized versions:

GGUF iMat: Quant-Cartel/0x01-8x7b-iMat-GGUF
exl2 rpcal: Quant-Cartel/0x01-8x7b-exl2-rpcal

Downloads last month: 11

Safetensors

Model size

47B params

Tensor type

F16

Model tree for rAIfle/0x01-8x7b-hf

Quantizations

2 models

Collection including rAIfle/0x01-8x7b-hf

Home baked

Collection

Home-baked merges and tunes. • 12 items • Updated Mar 2