What are the hardware requirements for Qwen3 1.7B Midtrain Local Kv Per Document?

Qwen3 1.7B Midtrain Local Kv Per Document requires approximately 6.9 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Midtrain Local Kv Per Document and how large is it?

Qwen3 1.7B Midtrain Local Kv Per Document is developed by lixiaochuan2020, 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.

Where can I download or evaluate Qwen3 1.7B Midtrain Local Kv Per Document?

Qwen3 1.7B Midtrain Local Kv Per Document is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B Midtrain Local Kv Per Document by lixiaochuan2020 — VRAM 6.9GB, 40K context

Name: Qwen3 1.7B Midtrain Local Kv Per Document
Author: lixiaochuan2020

Qwen3 1.7B Midtrain Local Kv Per Document is an open-source language model by lixiaochuan2020. Features: 1.7b LLM, VRAM: 6.9GB, Context: 40K, License: apache-2.0.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Endpoints compatible Local-kv Mid-training Qwen3 Region:us Safetensors Search-agent

Model Card on HF 🤗: https://huggingface.co/lixiaochuan2020/qwen3-1.7b-midtrain-local-kv-per-document

Qwen3 1.7B Midtrain Local Kv Per Document Parameters and Internals

LLM Name	Qwen3 1.7B Midtrain Local Kv Per Document
Repository 🤗	https://huggingface.co/lixiaochuan2020/qwen3-1.7b-midtrain-local-kv-per-document
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	6.9 GB
Updated	2026-10-27
Maintainer	lixiaochuan2020
Model Type	qwen3
Model Files	6.9 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 1.7B Midtrain Local Kv Per Document capabilities

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Best Alternatives to Qwen3 1.7B Midtrain Local Kv Per Document

Best Alternatives	Context / RAM	Downloads	Likes
Reaper Base	128K / 3.4 GB	393	0
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
Boole 1.7B	40K / 0.2 GB	539	9
Stormdesks Triage	40K / 3.4 GB	309	1
Stormdesk Triage	40K / 3.4 GB	461	1
Qwen3 1.7B SPFT Ultrafeedback	40K / 3.4 GB	312	1
Qwen3 1.7B SFT Ultrafeedback	40K / 3.4 GB	299	1

Note: green Score (e.g. "73.2") means that the model is better than lixiaochuan2020/qwen3-1.7b-midtrain-local-kv-per-document.