What are the hardware requirements for Parser User V9b Epoch 7 Lr 0.002?

Parser User V9b Epoch 7 Lr 0.002 requires approximately 7.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Parser User V9b Epoch 7 Lr 0.002 and how large is it?

Parser User V9b Epoch 7 Lr 0.002 is developed by magnifi, a model with 3.8b 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 Parser User V9b Epoch 7 Lr 0.002?

Parser User V9b Epoch 7 Lr 0.002 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Parser User V9b Epoch 7 Lr 0.002 by magnifi — VRAM 7.6GB, 4K context

Name: Parser User V9b Epoch 7 Lr 0.002
Author: magnifi

Parser User V9b Epoch 7 Lr 0.002 is an open-source language model by magnifi. Features: 3.8b LLM, VRAM: 7.6GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

4bit Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-... Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/magnifi/parser_user_v9b_epoch_7_lr_0.002

Parser User V9b Epoch 7 Lr 0.002 Benchmarks

LLME Score: 0.14021

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Parser User V9b Epoch 7 Lr 0.002 (magnifi/parser_user_v9b_epoch_7_lr_0.002)

🌟 Advertise your project 🚀

Parser User V9b Epoch 7 Lr 0.002 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, trl

Training Details

Methodology:

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Parser User V9b Epoch 7 Lr 0.002
Repository 🤗	https://huggingface.co/magnifi/parser_user_v9b_epoch_7_lr_0.002
Base Model(s)	...hi 3 Mini 4K Instruct Bnb 4bit unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size	3.8b
Required VRAM	7.6 GB
Updated	2025-09-23
Maintainer	magnifi
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Best Alternatives to Parser User V9b Epoch 7 Lr 0.002

Best Alternatives	Context / RAM	Downloads	Likes
... Instruct Unsloth Merged 16bit	4K / 7.6 GB	16	2
...ent V56 3 W Unknown 5 Lr 0.002	4K / 7.6 GB	6	0
...Word Problems 200K Model 16bit	4K / 7.6 GB	3879	0
... 4K Instruct Matter 0.1 Slim A	4K / 7.6 GB	8	2
...100 Percent Low Med Perplexity	4K / 7.6 GB	5	0
...22 Epoch7 0.002 Nosystemprompt	4K / 7.6 GB	5	0
...Af 50 Percent Low Med Nv Embed	4K / 7.6 GB	6	0
...20 Epoch7 0.002 Nosystemprompt	4K / 7.6 GB	5	0
Phi 3 Mini 4k OLScience V02	4K / 7.6 GB	5	0
...ch6 0.002 V6 Systempromt Short	4K / 7.6 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than magnifi/parser_user_v9b_epoch_7_lr_0.002.

Rank the Parser User V9b Epoch 7 Lr 0.002 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53205 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Parser User V9b Epoch 7 Lr 0.002 by magnifi

» All LLMs » magnifi » Parser User V9b Epoch 7 Lr 0.002 URL Share it on

Parser User V9b Epoch 7 Lr 0.002 Benchmarks

Parser User V9b Epoch 7 Lr 0.002 Parameters and Internals

Best Alternatives to Parser User V9b Epoch 7 Lr 0.002

Rank the Parser User V9b Epoch 7 Lr 0.002 Capabilities

What open-source LLMs or SLMs are you in search of? 53205 in total.