What are the hardware requirements for Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged?

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged?

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged by tussiiiii — VRAM 16.1GB, 128K context

Name: Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged
Author: tussiiiii

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged is an open-source language model by tussiiiii. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: mit, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.24.

Merged Model 4bit Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-... Distillation Endpoints compatible Instruct Kaggle Llama Lora Quantized Region:us Safetensors Sharded Tensorflow Text-embeddings-inference Unsloth Winner-only

Model Card on HF 🤗: https://huggingface.co/tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged Parameters and Internals

LLM Name	Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged
Repository 🤗	https://huggingface.co/tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged
Base Model(s)	unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-25
Maintainer	tussiiiii
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged 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

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