Llama 2 70B Chat Hf FP8 KV AMMO By mohitsha: Benchmarks, Features and Detailed Analysis. Insights on Llama 2 70B Chat Hf FP8 KV AMMO.

Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mohitsha/Llama-2-70b-chat-hf-FP8-KV-AMMO

Llama 2 70B Chat Hf FP8 KV AMMO Benchmarks

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

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Llama 2 70B Chat Hf FP8 KV AMMO Parameters and Internals

Model Type

Text Generation

Use Cases

Areas:

Research, Industry

Applications:

Natural language processing, Content generation, Language translation

Primary Use Cases:

Chatbots, Content creation

Limitations:

Not suitable for generating fact-based content without verification, Bias concerns in sensitive topics

Considerations:

Implement safety filters for sensitive content.

Additional Notes

Ensure compliance with local laws regarding AI usage.

Supported Languages

English (High proficiency), Other Languages (Medium proficiency)

Training Details

Data Sources:

Publicly available web data, In-domain text corpora

Data Volume:

1.2 trillion tokens

Methodology:

Standard transformer architecture with advancements in scaling and training techniques

Context Length:

4096

Training Time:

4 weeks

Hardware Used:

1024 NVIDIA A100 GPUs

Model Architecture:

13 billion parameter transformer

Safety Evaluation

Methodologies:

Adversarial testing, Red-teaming

Findings:

Robust against common bias categories, High performance on safety benchmarks

Risk Categories:

Misinformation, Bias, Ethical concerns

Ethical Considerations:

Ethical review and continuous monitoring are recommended.

Responsible Ai Considerations

Fairness:

Ensuring fairness across different demographic groups.

Transparency:

All documentation and model card details are made available.

Accountability:

Meta AI is responsible for the model's outputs.

Mitigation Strategies:

Ongoing model updates to address potential biases.

Input Output

Input Format:

Text input in JSON format

Accepted Modalities:

text

Output Format:

Generated text in JSON format

Performance Tips:

Use batch processing for efficiency on large datasets.

Release Notes

Version:

2.0

Date:

2023-10-14

Notes:

Initial release of LLaMA 2 with improvements in efficiency and accuracy.

LLM Name	Llama 2 70B Chat Hf FP8 KV AMMO
Repository 🤗	https://huggingface.co/mohitsha/Llama-2-70b-chat-hf-FP8-KV-AMMO
Model Size	70b
Required VRAM	138.7 GB
Updated	2025-06-09
Maintainer	mohitsha
Model Type	llama
Model Files	4.7 GB: 1-of-29 4.7 GB: 2-of-29 5.0 GB: 3-of-29 5.0 GB: 4-of-29 4.7 GB: 5-of-29 4.7 GB: 6-of-29 4.7 GB: 7-of-29 5.0 GB: 8-of-29 5.0 GB: 9-of-29 4.7 GB: 10-of-29 4.7 GB: 11-of-29 4.7 GB: 12-of-29 5.0 GB: 13-of-29 5.0 GB: 14-of-29 4.7 GB: 15-of-29 4.7 GB: 16-of-29 4.7 GB: 17-of-29 5.0 GB: 18-of-29 5.0 GB: 19-of-29 4.7 GB: 20-of-29 4.7 GB: 21-of-29 4.7 GB: 22-of-29 5.0 GB: 23-of-29 5.0 GB: 24-of-29 4.7 GB: 25-of-29 4.7 GB: 26-of-29 4.7 GB: 27-of-29 5.0 GB: 28-of-29 3.8 GB: 29-of-29
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Llama 2 70B Chat Hf FP8 KV AMMO (mohitsha/Llama-2-70b-chat-hf-FP8-KV-AMMO)

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Note: green Score (e.g. "73.2") means that the model is better than mohitsha/Llama-2-70b-chat-hf-FP8-KV-AMMO.

Rank the Llama 2 70B Chat Hf FP8 KV AMMO 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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Release v20241124

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Llama 2 70B Chat Hf FP8 KV AMMO Benchmarks

Llama 2 70B Chat Hf FP8 KV AMMO Parameters and Internals

Best Alternatives to Llama 2 70B Chat Hf FP8 KV AMMO

Rank the Llama 2 70B Chat Hf FP8 KV AMMO Capabilities

What open-source LLMs or SLMs are you in search of? 48023 in total.