What are the hardware requirements for Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit?

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit requires approximately 5.8 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 Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit and how large is it?

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit is developed by collaiborateorg, a model with 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 Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit?

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit by collaiborateorg — VRAM 5.8GB, 8K context

Name: Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit
Author: collaiborateorg

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit is an open-source language model by collaiborateorg. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit 4bit Autotrain compatible Awq Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Biomed Collaiborate Conversational Dataset:collaiborateorg/biomed... Endpoints compatible Generated from trainer Healthcare & lifesciences Instruct License:llama3 Llama Medical Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit Parameters and Internals

LLM Name	Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit
Repository 🤗	https://huggingface.co/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	5.8 GB
Updated	2024-07-23
Maintainer	collaiborateorg
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit capabilities

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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 Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit

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...8B Instruct Gradient 1048K AWQ	1024K / 5.8 GB	8	0
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Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	6	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	563	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	7	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	401	5

Note: green Score (e.g. "73.2") means that the model is better than collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit.