What are the hardware requirements for Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5?

Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5 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 Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5?

Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5 by RyanYr — VRAM 16.1GB, 128K context

Name: Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5
Author: RyanYr

Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5 is an open-source language model by RyanYr. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, LLM Explorer Score: 0.16.

Arxiv:2305.18290 Autotrain compatible Base model:finetune:ryanyr/ref... Base model:ryanyr/reflect llam... Conversational Dpo Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/RyanYr/reflect_llama8B_om2-mstlrg300k460k-llama3370b130k-t12_sft-t1_psdp-t1_b.5

Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5 Parameters and Internals

LLM Name	Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5
Repository 🤗	https://huggingface.co/RyanYr/reflect_llama8B_om2-mstlrg300k460k-llama3370b130k-t12_sft-t1_psdp-t1_b.5
Model Name	reflect_llama8B_om2-mstlrg300k460k-llama3370b130k-t12_sft-t1_psdp-t1_b.5
Base Model(s)	...Llama33 130K T12 Sft T1 Lr1e 6 RyanYr/reflect_llama8B_om2-mixed-t0-mstlrg-300k460k-t12_llama33-130k-t12_sft-t1_lr1e-6
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-09-17
Maintainer	RyanYr
Model Type	llama
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 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[PAD]
Vocabulary Size	128257
Torch Data Type	bfloat16

Rank the Reflect Llama8B Om2 Mstlrg300k460k Llama3370b130k T12 Sft T1 Psdp T1 B.5 capabilities

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Instruction Following and Task Automation
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Multi-Language Support and Translation

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...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than RyanYr/reflect_llama8B_om2-mstlrg300k460k-llama3370b130k-t12_sft-t1_psdp-t1_b.5.