What are the hardware requirements for Smolgpt Fables?

Smolgpt Fables requires approximately 1.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Smolgpt Fables and how large is it?

Smolgpt Fables is developed by neonforestmist, a model with 1.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Smolgpt Fables perform on standard benchmarks?

Smolgpt Fables has the following published scores: LMSYS ELO 1062. Compare against reference models on this page or on the LLM Explorer leaderboards.

Smolgpt Fables by neonforestmist — VRAM 1.1GB, 8K context

Name: Smolgpt Fables
Author: neonforestmist

Smolgpt Fables is an open-source language model by neonforestmist. Features: 1.7b LLM, VRAM: 1.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.39, ELO: 1062.

Base model:huggingfacetb/smoll... Base model:quantized:huggingfa... Controlled-generation Conversational Creative-writing Dataset:neonforestmist/smolgpt... En Endpoints compatible Gguf Instruct Instruction-following Llama Q4 Quantized Region:us Safetensors Small-language-model Smolgpt-fables Story-generation

Model Card on HF 🤗: https://huggingface.co/neonforestmist/smolgpt-fables

Smolgpt Fables Benchmarks

LMSys ELO 1062 vs 1272 (so35) -16.5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Smolgpt Fables Parameters and Internals

LLM Name	Smolgpt Fables
Repository 🤗	https://huggingface.co/neonforestmist/smolgpt-fables
Base Model(s)	HuggingFaceTB/SmolLM2-1.7B-Instruct HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size	1.7b
Required VRAM	1.1 GB
Updated	2026-09-05
Maintainer	neonforestmist
Model Type	llama
Instruction-Based	Yes
Model Files	1.1 GB 3.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.13.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152

Rank the Smolgpt Fables capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Smolgpt Fables

Best Alternatives	Context / RAM	Downloads	Likes
TwIL LM	8K / 1.1 GB	519	10
SmolLM2 1.7B Merged	8K / 3.4 GB	22	0
SmolLM2 1.7B Instruct Q8 Mlx	8K / 1.8 GB	258	5
SmolLM2 1.7B Instruct Bnb 4bit	8K / 1 GB	407	2
SmolLM 1.7B Bnb 4bit	2K / 1 GB	34	2
SmolLM 1.7B Instruct 4bit	2K / 1 GB	70	2
SmolLM 1.7B Instruct 8bit	2K / 1.8 GB	9	1
SmolLM2 1.7B Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6

Note: green Score (e.g. "73.2") means that the model is better than neonforestmist/smolgpt-fables.