What are the hardware requirements for Flint Roleplay Antislop?

Flint Roleplay Antislop requires approximately 80 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Flint Roleplay Antislop and how large is it?

Flint Roleplay Antislop is developed by rawmodels, a model with 39.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Flint Roleplay Antislop?

Flint Roleplay Antislop is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Flint Roleplay Antislop by rawmodels — VRAM 80GB, 256K context

Name: Flint Roleplay Antislop
Author: rawmodels

Flint Roleplay Antislop is an open-source language model by rawmodels. Features: 39.8b LLM, VRAM: 80GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.36.

Antislop - reinforcement-learn... Base model:finetune:recursives... Base model:recursivesi/flint Bf16 Creative-writing En Endpoints compatible Flint Gguf Llama.cpp Moe Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rawmodels/flint-roleplay-antislop

Flint Roleplay Antislop Parameters and Internals

LLM Name	Flint Roleplay Antislop
Repository 🤗	https://huggingface.co/rawmodels/flint-roleplay-antislop
Base Model(s)	Flint RecursiveSI/flint
Model Size	39.8b
Required VRAM	80 GB
Updated	2026-10-30
Maintainer	rawmodels
Model Type	flint
Model Files	5.4 GB: 1-of-15 5.4 GB: 2-of-15 5.4 GB: 3-of-15 5.4 GB: 4-of-15 5.4 GB: 5-of-15 5.4 GB: 6-of-15 5.4 GB: 7-of-15 5.4 GB: 8-of-15 5.4 GB: 9-of-15 5.4 GB: 10-of-15 5.4 GB: 11-of-15 5.4 GB: 12-of-15 5.4 GB: 13-of-15 5.4 GB: 14-of-15 4.4 GB: 15-of-15
Supported Languages	en
Model Architecture	FlintForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	150144
Torch Data Type	bfloat16

Rank the Flint Roleplay Antislop capabilities

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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 Flint Roleplay Antislop

Best Alternatives	Context / RAM	Downloads	Likes
Flint	256K / 80 GB	4795	754
Flint OQ5e	256K / 28.2 GB	378	1
Flint OQ4e	256K / 23.3 GB	331	1
Flint FP8 BF16	256K / 0.8 GB	46	1
Flint Mixed 3 4bit	256K / 17.9 GB	1609	3
Flint MLX Serve 4bit	256K / 22.5 GB	1950	2
Flint MLX Serve Mixed 4 8bit	256K / 23.4 GB	1230	3
Flint OptiQ 4bit	256K / 27.6 GB	505	3
Flint OQ2e Fp16	256K / 13.9 GB	329	2
Flint OQ6e Fp16	256K / 32.7 GB	336	1

Note: green Score (e.g. "73.2") means that the model is better than rawmodels/flint-roleplay-antislop.