Instructions to use tachyphylaxis/Cream_top2_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tachyphylaxis/Cream_top2_gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tachyphylaxis/Cream_top2_gguf",
	filename="Cream_top2_Q5_k_m.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use tachyphylaxis/Cream_top2_gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tachyphylaxis/Cream_top2_gguf:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf tachyphylaxis/Cream_top2_gguf:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tachyphylaxis/Cream_top2_gguf:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf tachyphylaxis/Cream_top2_gguf:Q4_K_S

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 tachyphylaxis/Cream_top2_gguf:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf tachyphylaxis/Cream_top2_gguf:Q4_K_S

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 tachyphylaxis/Cream_top2_gguf:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tachyphylaxis/Cream_top2_gguf:Q4_K_S

Use Docker

docker model run hf.co/tachyphylaxis/Cream_top2_gguf:Q4_K_S

LM Studio
Jan
Ollama
How to use tachyphylaxis/Cream_top2_gguf with Ollama:
```
ollama run hf.co/tachyphylaxis/Cream_top2_gguf:Q4_K_S
```

Unsloth Studio

How to use tachyphylaxis/Cream_top2_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 tachyphylaxis/Cream_top2_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 tachyphylaxis/Cream_top2_gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tachyphylaxis/Cream_top2_gguf to start chatting

Docker Model Runner
How to use tachyphylaxis/Cream_top2_gguf with Docker Model Runner:
```
docker model run hf.co/tachyphylaxis/Cream_top2_gguf:Q4_K_S
```

Lemonade

How to use tachyphylaxis/Cream_top2_gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tachyphylaxis/Cream_top2_gguf:Q4_K_S

Run and chat with the model

lemonade run user.Cream_top2_gguf-Q4_K_S

List all available models

lemonade list

Second iteration (first was the hottest trash) of mass injecting the good stuff into my spatial awareness/object orientation framework. VAR2 was trained on mixed data, no RP, and VAR(1) was trained exclusively on spatial/task data.

- Temp: 1
- Min P: 0.02
- Top nsigma: 1.73
- Rep Pen: 1.02
- DRY: 0.8, 1.75, 4, 4096

Screenshots below are from the imx Q6 quant
Using system prompt: 'You are a brilliant award winning writer and storyteller, with a visceral and 'in your face' writing style'

The model seems to desperately want to adhere to sys prompts and cards/patterns, lengthy sys prompts feel like they shackle the responses.

merge_method: breadcrumbs_ties

models:   
  - model: Delta-Vector/Austral-70B-Winton
    parameters:
      gamma: 0.01
      density: .2
      weight: 0.13
  - model: Delta-Vector/Shimamura-70B
    parameters:
      gamma: 0.01
      density: .2
      weight: 0.13
  - model: Darkhn/L3.3-70B-Animus-V7.0
    parameters:
      gamma: 0.01
      density: .5
      weight: 0.13
  - model: TheDrummer/Anubis-70B-v1.1
    parameters:
      gamma: 0.02
      density: .3
      weight: 0.13
  - model: schonsense/Llama3_3_70B_VAR_r128
    parameters:
      gamma: 0
      density: .7
      weight: 0.13
  - model: SentientAGI/Dobby-Unhinged-Llama-3.3-70B
    parameters:
      gamma: 0.01
      density: .3
      weight: 0.13
  - model: Tarek07/Scripturient-V1.3-LLaMa-70B
    parameters:
      gamma: 0.01
      density: .3
      weight: 0.13
  - model: zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
    parameters:
      gamma: 0.02
      density: .2
      weight: 0.13
  - model: schonsense/ll3_3_70B_r128_VAR2

base_model: schonsense/ll3_3_70B_r128_VAR2
tokenizer_source: union
parameters:
  normalize: true
  int8_mask: true
  lambda: 0.95

dtype: float32
out_dtype: bfloat16

Downloads last month: 3

GGUF

Model size

71B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

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