Instructions to use the-fall-of-man/didact-plump-v1beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use the-fall-of-man/didact-plump-v1beta with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("the-fall-of-man/didact-plump-v1beta")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use the-fall-of-man/didact-plump-v1beta with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "the-fall-of-man/didact-plump-v1beta"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "the-fall-of-man/didact-plump-v1beta"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use the-fall-of-man/didact-plump-v1beta with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "the-fall-of-man/didact-plump-v1beta"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "the-fall-of-man/didact-plump-v1beta"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "the-fall-of-man/didact-plump-v1beta",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use the-fall-of-man/didact-plump-v1beta with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "the-fall-of-man/didact-plump-v1beta"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default the-fall-of-man/didact-plump-v1beta

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use the-fall-of-man/didact-plump-v1beta with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "the-fall-of-man/didact-plump-v1beta"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "the-fall-of-man/didact-plump-v1beta" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

the-fall-of-man commited on Mar 2

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@@ -1,69 +1,7 @@
 ---
 language: en
-library_name: mlx
-pipeline_tag: text-generation
 tags:
 - mlx
-- roleplaying
-- SillyTavern
-- 8-bit
-- conversational
-- abliterated
-license: apache-2.0
-base_model:
-- ArliAI/gpt-oss-120b-Derestricted
 ---
-# The latest version of the model is not yet uploaded. You don't want this one yet (one with an upload date of Mar 1).
-## Didact Plump v1 beta
-Expanded dataaset; over half is my own personal data, then creative datasets from huggingface, especially some great ones from [crownelius](https://huggingface.co/crownelius)
-Literary/roleplay focused; built on the ArliAI [derestricted](https://huggingface.co/ArliAI/gpt-oss-120b-Derestricted) models (as the best of the abliterated sets, IMHO) models, to fix a general problem with GPT-OSS - it's kinda bad at knowing *when* or *how* to use literary details.
-This one came out a bit better than the small versions; I intend to use the new training sets on those.
-NOTE: For roleplaying, you *must* include 'You are roleplaying with the user' in your system prompt; that's how it has been trained to keep its roleplaying talent away from the rest of it.
-## Update!
-The schizo disorder is fixed, and I'm pushing up over this repo now (wait for it to finish). *Don't* download the model until I remove this message (should be soonish)
-So far, I find it has certain strengths and weaknesses in roleplay:
-Weaknesses:
-- Still weak at first-few-messages;
-- Doesn't do impulsiveness extremely well;
-- Needs a bit of guidance on what to do in places still (still drops 'what will you do' hooks - planning to fix this).
-Strengths:
-- I find it's just as good as frontiers at continuing in a particular idiom;
-- Quality character immersion (I gave it a lot of tight pairs on hyperbolic personality, and it shows)
-- Creative (in a GPT OSS derivative, even) - adds new things to the plot. In fact, I'd probably suggest you *don't* use it for on the rails storytelling, because it might add ash gods to a comic book shop scenario (for an anecdotal case).
-    For me, this is a positive.
-- Demonstrates that strong GPT trained knowledge set in a more interesting way than base.
-SETTINGS:
-Temperature: from 0.7 to 1, with the best creativity between 0.83 and 0.93 (IMHO)
-   Loops at too low temperature; makes up insane things and then rationalizes them at too-high temperatures.
-System Prompt suggestion for SillyTavern:
-```
-You are roleplaying with the user.
-Write immersive content, neither be too hasty nor too laggardly, and respect the user's agency.
-## Roleplaying Brief
-```
-It has been trained on 'You are roleplaying with the user' and an introduction for character; everything else can be modified.
-### Stats:
-- SFT: 35Mtok dataset for 2 epochs
-- ORPO: Corrected some bad behaviors
-It's still 'unfinished', thus beta tagged; I need to identify which behaviors need to be cleaned up further.

 ---
 language: en
 tags:
 - mlx
+pipeline_tag: text-generation
+library_name: mlx
 ---

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