What are the hardware requirements for Flint 40B A2.5B Abliterated FP8 Calibrated?

Flint 40B A2.5B Abliterated FP8 Calibrated requires approximately 40.4 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 40B A2.5B Abliterated FP8 Calibrated and how large is it?

Flint 40B A2.5B Abliterated FP8 Calibrated is developed by cbert33, a model with 40b 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 40B A2.5B Abliterated FP8 Calibrated?

Flint 40B A2.5B Abliterated FP8 Calibrated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Flint 40B A2.5B Abliterated FP8 Calibrated by cbert33 — VRAM 40.4GB, 256K context

Name: Flint 40B A2.5B Abliterated FP8 Calibrated
Author: cbert33

Flint 40B A2.5B Abliterated FP8 Calibrated is an open-source language model by cbert33. Features: 40b LLM, VRAM: 40.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.31.

Abliterated Base model:dima6312/flint-40b-... Base model:quantized:dima6312/... Calibrated-kv-cache Compressed-tensors Conversational Custom code Dataset:huggingfaceh4/ultracha... Endpoints compatible Flint Fp8 Moe Region:us Safetensors Sharded Tensorflow Uncensored W8a8

Model Card on HF 🤗: https://huggingface.co/cbert33/Flint-40B-A2.5B-Abliterated-FP8-Calibrated

Flint 40B A2.5B Abliterated FP8 Calibrated Parameters and Internals

LLM Name	Flint 40B A2.5B Abliterated FP8 Calibrated
Repository 🤗	https://huggingface.co/cbert33/Flint-40B-A2.5B-Abliterated-FP8-Calibrated
Base Model(s)	dima6312/Flint-40B-A2.5B-abliterated dima6312/Flint-40B-A2.5B-abliterated
Model Size	40b
Required VRAM	40.4 GB
Updated	2026-10-27
Maintainer	cbert33
Model Type	flint
Model Files	0.0 GB 3.1 GB: 1-of-16 2.5 GB: 2-of-16 2.5 GB: 3-of-16 2.5 GB: 4-of-16 2.5 GB: 5-of-16 2.5 GB: 6-of-16 2.5 GB: 7-of-16 2.5 GB: 8-of-16 2.5 GB: 9-of-16 2.5 GB: 10-of-16 2.5 GB: 11-of-16 2.5 GB: 12-of-16 2.5 GB: 13-of-16 2.5 GB: 14-of-16 2.5 GB: 15-of-16 2.3 GB: 16-of-16
Model Architecture	FlintForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.20.2
Tokenizer Class	TokenizersBackend
Padding Token	<\|end_of_text\|>
Vocabulary Size	150144

Rank the Flint 40B A2.5B Abliterated FP8 Calibrated 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 Flint 40B A2.5B Abliterated FP8 Calibrated

Best Alternatives	Context / RAM	Downloads	Likes
Flint 40B A2.5B Abliterated	256K / 79.6 GB	180	6
...terated EXL3 4.0bpw Calibrated	256K / 20.6 GB	279	1
Flint 40B A2.5B JANG 6M	256K / 32.8 GB	305	1
...40B A2.5B Abliterated MLX 4bit	256K / 3.8 GB	1187	3
Flint 40B A2.5B MLX GPTQ MXFP4	256K / 21.3 GB	2065	2

Note: green Score (e.g. "73.2") means that the model is better than cbert33/Flint-40B-A2.5B-Abliterated-FP8-Calibrated.