Instructions to use fableforge-ai/ReasonCritic-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fableforge-ai/ReasonCritic-7B with Transformers:

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

pipe = pipeline("text-generation", model="fableforge-ai/ReasonCritic-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("fableforge-ai/ReasonCritic-7B")
model = AutoModelForCausalLM.from_pretrained("fableforge-ai/ReasonCritic-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use fableforge-ai/ReasonCritic-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "fableforge-ai/ReasonCritic-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fableforge-ai/ReasonCritic-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/fableforge-ai/ReasonCritic-7B

SGLang

How to use fableforge-ai/ReasonCritic-7B 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 "fableforge-ai/ReasonCritic-7B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fableforge-ai/ReasonCritic-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "fableforge-ai/ReasonCritic-7B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fableforge-ai/ReasonCritic-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use fableforge-ai/ReasonCritic-7B with Docker Model Runner:
```
docker model run hf.co/fableforge-ai/ReasonCritic-7B
```

ReasonCritic-7B / README.md

King3Djbl

Update README.md

c5f6621 verified 3 days ago

preview code

Raw

History Blame Contribute Delete

3.75 kB

	---
	license: apache-2.0
	language:
	- en
	library_name: transformers
	pipeline_tag: text-generation
	base_model: ableforge-ai/ReasonCritic-7B
	base_model_relation: finetune
	tags:
	- chain-of-thought
	- critic
	- evaluation
	- fableforge
	- gguf
	- imatrix
	- llama.cpp
	- lm-studio
	- ollama
	- reasoning
	- text-generation
	---

	# ReasonCritic-7B

	> A reasoning critic — evaluates and improves chain-of-thought.

	[![Downloads](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fmodels%2Ffableforge-ai%2FReasonCritic-7B&query=downloads&label=downloads&color=blue)](https://huggingface.co/fableforge-ai/ReasonCritic-7B) [![Demos](https://img.shields.io/badge/🤗-Live%20Demos-orange)](https://huggingface.co/spaces/fableforge-ai/fableforge-nexus)

	Base model: [fableforge-ai/ReasonCritic-7B](https://huggingface.co/fableforge-ai/ReasonCritic-7B) · Part of the FableForge ecosystem.

	---

	## ⚡ Quickest start — Ollama (these pulls credit the source, not a mirror)

	```bash
	ollama run hf.co/fableforge-ai/ReasonCritic-7B:Q4_K_M
	```

	## 🦙 llama.cpp

	```bash
	llama-cli -hf fableforge-ai/ReasonCritic-7B:Q4_K_M -p "Hello!"
	```

	## 💠 LM Studio
	Search `fableforge-ai/ReasonCritic-7B` and pick a quant below.

	---

	## 📦 Provided quants (download one file, not the whole repo)

	\| File \| Quant \| Size \| Notes \|
	\| ---- \| ----- \| ---- \| ----- \|
	\| [reasoncritic-7b.F16.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.F16.gguf) \| `F16` \| 14.43 GB \| Full precision (unquantized). Reference / conversion. \|
	\| [reasoncritic-7b.Q8_0.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q8_0.gguf) \| `Q8_0` \| 8.71 GB \| Extremely high quality — usually overkill. \|
	\| [reasoncritic-7b.Q6_K.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q6_K.gguf) \| `Q6_K` \| 6.73 GB \| Very high quality, near-perfect. Recommended if you have the RAM. \|
	\| [reasoncritic-7b.Q5_K_M.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q5_K_M.gguf) \| `Q5_K_M` \| 5.85 GB \| High quality. Recommended. \|
	\| [reasoncritic-7b.Q4_K_M.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q4_K_M.gguf) \| `Q4_K_M` \| 5.03 GB \| ⭐ Best size/quality balance — default pick for most users. \|
	\| [reasoncritic-7b.Q4_0.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q4_0.gguf) \| `Q4_0` \| 4.77 GB \| Legacy format — prefer Q4_K_M. \|
	\| [reasoncritic-7b.Q3_K_M.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q3_K_M.gguf) \| `Q3_K_M` \| 4.12 GB \| Lower quality; usable when RAM is tight. \|
	\| [reasoncritic-7b.Q2_K.gguf](https://huggingface.co/fableforge-ai/ReasonCritic-7B/blob/main/reasoncritic-7b.Q2_K.gguf) \| `Q2_K` \| 3.28 GB \| Very low quality — surprisingly usable. \|

	Not sure? Take `Q4_K_M`. Low RAM → `IQ4_XS`. Max quality → `Q6_K`.

	## 🧠 Prompt format (ChatML)

	```
	<\|im_start\|>system
	{system_prompt}<\|im_end\|>
	<\|im_start\|>user
	{prompt}<\|im_end\|>
	<\|im_start\|>assistant
	```

	## 🌌 See it live — the FableForge demos

	This family powers a galaxy of free, interactive HF Spaces:

	- 🧭 [FableForge Nexus](https://huggingface.co/spaces/fableforge-ai/fableforge-nexus)
	- 🍺 [Infinite NPC](https://huggingface.co/spaces/fableforge-ai/infinite-npc)
	- 🎭 [Dual-GM](https://huggingface.co/spaces/King3Djbl/dual-gm-simulator)
	- 💻 [ShellWhisperer](https://huggingface.co/spaces/King3Djbl/shellwhisperer-terminal)
	- 👻 [Ghost Writer](https://huggingface.co/spaces/fableforge-ai/ghost-writer)

	---

	⭐ Like & share — it helps people find the source instead of a mirror.