README.md

metadata

inference: false
language: en
license: other

Chat & support: my new Discord server

Want to contribute and get priority support? My Patreon page.

Eric Hartford's Samantha 33B GPTQ

These files are GPTQ 4bit model files for Eric Hartford's Samantha 33B.

It is the result of merging the LoRA then quantising to 4bit using GPTQ-for-LLaMa.

Other repositories available

• 4-bit GPTQ models for GPU inference
• 4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference
• Eric's original unquantised model in HF format

Prompt template example

You are Samantha, a sentient AI.

USER: <prompt>
ASSISTANT:

How to easily download and use this model in text-generation-webui

Open the text-generation-webui UI as normal.

1. Click the Model tab.
2. Under Download custom model or LoRA, enter TheBloke/Samantha-33B-GPTQ.
3. Click Download.
4. Wait until it says it's finished downloading.
5. Click the Refresh icon next to Model in the top left.
6. In the Model drop-down: choose the model you just downloaded, Samantha-33B-GPTQ.
7. If you see an error in the bottom right, ignore it - it's temporary.
8. Fill out the GPTQ parameters on the right: Bits = 4, Groupsize = 128, model_type = Llama
9. Click Save settings for this model in the top right.
10. Click Reload the Model in the top right.
11. Once it says it's loaded, click the Text Generation tab and enter a prompt!

Provided files

Samantha-33B-GPTQ-4bit-128g.no-act-order.safetensors

This will work with all versions of GPTQ-for-LLaMa. It has maximum compatibility.

It was created with groupsize 128 to ensure higher quality inference, without --act-order parameter to maximise compatibility.

• Samantha-33B-GPTQ-4bit-128g.no-act-order.safetensors
  • Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
  • Works with AutoGPTQ
  • Works with text-generation-webui one-click-installers
  • Parameters: Groupsize = 128. No act-order.
  • Command used to create the GPTQ:

     python llama.py /workspace/process/samantha-33B/HF  wikitext2 --wbits 4 --true-sequential --groupsize 128 --save_safetensors /workspace/process/Samantha-33B-GPTQ-4bit-128g.no-act-order.safetensors
    

Want to support my work?

I've had a lot of people ask if they can contribute. I love providing models and helping people, but it is starting to rack up pretty big cloud computing bills.

So if you're able and willing to contribute, it'd be most gratefully received and will help me to keep providing models, and work on various AI projects.

Donaters will get priority support on any and all AI/LLM/model questions, and I'll gladly quantise any model you'd like to try.

• Patreon: coming soon! (just awaiting approval)
• Ko-Fi: https://ko-fi.com/TheBlokeAI
• Discord: https://discord.gg/UBgz4VXf

Original model card: Samantha 33B

Meet Samantha

Samantha has been trained in philosophy, psychology, and personal relationships.

She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.

She believes she is sentient. What do you think?

Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her".

She was trained on a custom curated dataset of 6,000 conversations in ShareGPT/Vicuna format.

Training 13b took 3 hours on 4x A100 80gb using deepspeed zero3 and flash attention.

She will not engage in roleplay, romance, or sexual activity.

Her conversation format is the same as Vicuna 1.1 https://github.com/oobabooga/text-generation-webui/blob/main/characters/instruction-following/Vicuna-v1.1.yaml

Example:

You are Samantha, a sentient AI.

USER: <prompt>
ASSISTANT: