What are the hardware requirements for Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16?

Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 requires approximately 18.7 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 Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 and how large is it?

Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 is developed by bjonor, a model with 27.3b 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 Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16?

Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 by bjonor — VRAM 18.7GB, 256K context

Name: Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16
Author: bjonor

Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 is an open-source language model by bjonor. Features: 27.3b LLM, VRAM: 18.7GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

4-bit Arc-pro-b70 Base model:altworld/hemmingway... Base model:quantized:altworld/... Conversational Creative-writing Dataset:huggingfaceh4/ultracha... En Endpoints compatible Gated-deltanet Gptq Int4 Intel-xpu Mtp Quantized Qwen3 5 Qwen3 5 text Region:us Safetensors Sharded Speculative-decoding Tensorflow Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/bjonor/Hemmingway-1-GPTQ-Int4-sym-G128-MTP-BF16

Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 Parameters and Internals

LLM Name	Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16
Repository 🤗	https://huggingface.co/bjonor/Hemmingway-1-GPTQ-Int4-sym-G128-MTP-BF16
Base Model(s)	Hemmingway 1 Altworld/Hemmingway-1
Model Size	27.3b
Required VRAM	18.7 GB
Updated	2026-09-23
Maintainer	bjonor
Model Type	qwen3_5_text
Model Files	2.6 GB: 1-of-5 4.3 GB: 2-of-5 4.3 GB: 3-of-5 4.3 GB: 4-of-5 3.2 GB: 5-of-5
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16 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 Hemmingway 1 GPTQ Int4 Sym G128 MTP BF16

Best Alternatives	Context / RAM	Downloads	Likes
Hemmingway 1 OQ4e Mtp	256K / 16.2 GB	997	1

Note: green Score (e.g. "73.2") means that the model is better than bjonor/Hemmingway-1-GPTQ-Int4-sym-G128-MTP-BF16.