What are the hardware requirements for Autotrain 6lxuh Noau7?

Autotrain 6lxuh Noau7 requires approximately 6.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Autotrain 6lxuh Noau7 and how large is it?

Autotrain 6lxuh Noau7 is developed by bobleer, a model with 1.5b 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 Autotrain 6lxuh Noau7?

Autotrain 6lxuh Noau7 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Autotrain 6lxuh Noau7 by bobleer — VRAM 6.2GB, 32K context

Name: Autotrain 6lxuh Noau7
Author: bobleer

Autotrain 6lxuh Noau7 is an open-source language model by bobleer. Features: 1.5b LLM, VRAM: 6.2GB, Context: 32K, License: other, Code Generating, LLM Explorer Score: 0.16.

Autotrain Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/bobleer/autotrain-6lxuh-noau7

Autotrain 6lxuh Noau7 Parameters and Internals

LLM Name	Autotrain 6lxuh Noau7
Repository 🤗	https://huggingface.co/bobleer/autotrain-6lxuh-noau7
Base Model(s)	Qwen/Qwen2.5-Coder-1.5B Qwen/Qwen2.5-Coder-1.5B
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2026-08-02
Maintainer	bobleer
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	float32
Errors	replace

Rank the Autotrain 6lxuh Noau7 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 Autotrain 6lxuh Noau7

Best Alternatives	Context / RAM	Downloads	Likes
Merge Cord V1	128K / 3.1 GB	155	1
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
Coder O1 Mini Reasoning	32K / 3.1 GB	644	0
Pulsar Coder 1.5B	32K / 3.1 GB	13	0
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	695585	134
Mythos Qwen 1.5B Final	32K / 3.1 GB	104	1
Microcoder 1.5B	32K / 3.1 GB	20	4
Qwen2.5 Coder 1.5B	32K / 3.1 GB	197356	95
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	69796	6
...n2.5 Coder Draft 1.5B Instruct	32K / 3.1 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than bobleer/autotrain-6lxuh-noau7.