What are the hardware requirements for Value Iteration 1?

Value Iteration 1 requires approximately 0.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Value Iteration 1 and how large is it?

Value Iteration 1 is developed by AngelRaychev, a model with 134.5m 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 Value Iteration 1?

Value Iteration 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Value Iteration 1 by AngelRaychev — VRAM 0.5GB, 2K context

Name: Value Iteration 1
Author: AngelRaychev

Value Iteration 1 is an open-source language model by AngelRaychev. Features: 134.5m LLM, VRAM: 0.5GB, Context: 2K, LLM Explorer Score: 0.17.

Base model:angelraychev/value ... Base model:finetune:angelraych... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/AngelRaychev/value_iteration_1

Value Iteration 1 Parameters and Internals

LLM Name	Value Iteration 1
Repository 🤗	https://huggingface.co/AngelRaychev/value_iteration_1
Model Name	value_iteration_1
Base Model(s)	Value Iteration 0 AngelRaychev/value_iteration_0
Model Size	134.5m
Required VRAM	0.5 GB
Updated	2026-08-23
Maintainer	AngelRaychev
Model Type	llama
Model Files	0.5 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.51.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Torch Data Type	float32

Rank the Value Iteration 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 Value Iteration 1

Best Alternatives	Context / RAM	Downloads	Likes
BWork LLM	8K / 0.3 GB	6	0
HyzeMini	8K / 0.3 GB	26	1
Poker SmolLM	8K / 0.5 GB	1607	2
Policy Iteration 1	8K / 0.5 GB	86	0
SmolLM2 FT MyDataset	8K / 0.5 GB	5	0
SmolLM2 FT MyDataset	8K / 0.5 GB	7	0
Distilled Chat Ocra	8K / 0.5 GB	5	0
SmolLM FT NYTCw	2K / 0.5 GB	6	0
N1	2K / 0.5 GB	23	1
SmolLM FT CoEdIT	2K / 0.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than AngelRaychev/value_iteration_1.