What are the hardware requirements for AlphaTrade 0.6B SFT V0.1?

AlphaTrade 0.6B SFT V0.1 requires approximately 1.2 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 AlphaTrade 0.6B SFT V0.1 and how large is it?

AlphaTrade 0.6B SFT V0.1 is developed by ChavyvAkvar, a model with 0.6b 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 AlphaTrade 0.6B SFT V0.1?

AlphaTrade 0.6B SFT V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AlphaTrade 0.6B SFT V0.1 by ChavyvAkvar — VRAM 1.2GB, 40K context

Name: AlphaTrade 0.6B SFT V0.1
Author: ChavyvAkvar

AlphaTrade 0.6B SFT V0.1 is an open-source language model by ChavyvAkvar. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b Conversational En Endpoints compatible Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/ChavyvAkvar/AlphaTrade-0.6B-SFT-v0.1

AlphaTrade 0.6B SFT V0.1 Parameters and Internals

LLM Name	AlphaTrade 0.6B SFT V0.1
Repository 🤗	https://huggingface.co/ChavyvAkvar/AlphaTrade-0.6B-SFT-v0.1
Base Model(s)	unsloth/Qwen3-0.6B unsloth/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-09-04
Maintainer	ChavyvAkvar
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the AlphaTrade 0.6B SFT V0.1 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 AlphaTrade 0.6B SFT V0.1

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Meridian Ac Nano	40K / 1.2 GB	493	1
Blake Haiku 1	40K / 1.2 GB	386	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Tenorio 0.6B	40K / 1.2 GB	251	2
Quipu 0.6B	40K / 1.2 GB	351	4
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Clary 0.6 0.6B	40K / 1.2 GB	164	1

Note: green Score (e.g. "73.2") means that the model is better than ChavyvAkvar/AlphaTrade-0.6B-SFT-v0.1.