What are the hardware requirements for Blossom V5 Llama3 8B?

Blossom V5 Llama3 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Blossom V5 Llama3 8B and how large is it?

Blossom V5 Llama3 8B is developed by Azure99, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Blossom V5 Llama3 8B perform on standard benchmarks?

Blossom V5 Llama3 8B has the following published scores: MMLU 65.48. Compare against reference models on this page or on the LLM Explorer leaderboards.

Blossom V5 Llama3 8B by Azure99 — VRAM 16.1GB, 8K context

Name: Blossom V5 Llama3 8B
Author: Azure99

Blossom V5 Llama3 8B is an open-source language model by Azure99. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.18, Arc: 56.8, HellaSwag: 83.1, MMLU: 65.5, GSM8K: 44.4.

Conversational Dataset:azure99/blossom-chat-v... Dataset:azure99/blossom-math-v... Dataset:azure99/blossom-orca-v... Dataset:azure99/blossom-wizard... En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Azure99/blossom-v5-llama3-8b

Blossom V5 Llama3 8B Parameters and Internals

Model Type

conversational LLM, dialogue model

Use Cases

Areas:

chatbots, conversational AI

Additional Notes

Training included high-quality datasets in both Chinese and English for comprehensive context comprehension capabilities.

Supported Languages

zh (high-quality), en (high-quality)

Training Details

Data Sources:

Azure99/blossom-chat-v3, Azure99/blossom-math-v4, Azure99/blossom-wizard-v3, Azure99/blossom-orca-v3

Methodology:

Improved using high-quality data distilled from gpt-4-0125-preview with a two-stage training process involving large single-turn and multi-turn dialogue datasets.

Model Architecture:

Fine-tuned based on Meta-Llama-3-8B

Input Output

Input Format:

Dialogue-based input scenarios

Accepted Modalities:

text

Output Format:

Conversational text with guidance to append `<|end_of_text|>` at the end

LLM Name	Blossom V5 Llama3 8B
Repository 🤗	https://huggingface.co/Azure99/blossom-v5-llama3-8b
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-25
Maintainer	Azure99
Model Type	llama
Model Files	10.0 GB: 1-of-2 6.1 GB: 2-of-2
Supported Languages	zh en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Blossom V5 Llama3 8B 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

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