Llama 2 70B GGML By TheBloke: Benchmarks, Features and Detailed Analysis. Insights on Llama 2 70B GGML.

Arxiv:2307.09288 En Facebook Ggml Llama Llama2 Meta Pytorch Quantized Region:us

Llama 2 70B GGML 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 GGML Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Commercial, Research

Applications:

Assistant-like chat with tuned models, Natural language generation

Primary Use Cases:

Text generation for dialogue and other natural language tasks

Limitations:

Limited to English, Not suitable for use that violates applicable laws or regulations

Considerations:

Formatting needs to be followed for chat versions, including specific tokens and whitespace.

Additional Notes

Foundation model with potential for further fine-tuning, especially for dialogue use cases.

Supported Languages

en (English)

Training Details

Data Sources:

A new mix of publicly available online data

Data Volume:

2 trillion tokens

Methodology:

Pretrained and fine-tuned, using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)

Context Length:

4000

Training Time:

January 2023 to July 2023

Hardware Used:

Meta's Research Super Cluster and production clusters

Model Architecture:

Optimized transformer architecture with Grouped-Query Attention (GQA) for improved inference scalability.

Safety Evaluation

Methodologies:

Internal evaluations using academic benchmarks

Findings:

May produce inaccurate, biased, or objectionable responses in certain scenarios

Risk Categories:

Misinformation, Bias

Ethical Considerations:

The model carries risks with use; outputs cannot be predicted in advance.

Responsible Ai Considerations

Fairness:	Uncertain; developers should perform safety testing and tuning tailored to their specific applications.
Transparency:	The model's potential outputs cannot be predicted in advance.
Accountability:	Meta is responsible for the initial deployment, but users must ensure safe application.
Mitigation Strategies:	Perform safety testing and tuning tailored to specific applications.

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Adhere to specified input formatting for chat models.

Release Notes

Version:	70B
Date:	2023-07-01
Notes:	70 billion parameters for varied natural language generation tasks.

LLM Name	Llama 2 70B GGML
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-70B-GGML
Model Size	70b
Required VRAM	28.6 GB
Updated	2024-11-12
Maintainer	TheBloke
Model Type	llama
Model Files	28.6 GB 36.1 GB 33.0 GB 29.7 GB 38.9 GB 43.2 GB 41.4 GB 38.9 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	other

Llama 2 70B GGML (TheBloke/Llama-2-70B-GGML)

Best Alternatives to Llama 2 70B GGML

Best Alternatives	Context / RAM	Downloads	Likes
Llama 2 70B Chat GGML	0K / 28.6 GB	85	161
Synthia 70B V1.1 GGML	0K / 28.6 GB	32	4
...iction.live Kimiko V2 70B GGML	0K / 28.6 GB	22	2
Lemur 70B Chat V1 GGML	0K / 29 GB	26	3
...boros L2 70B 2.1 Creative GGML	0K / 28.6 GB	2	3
Nous Hermes Llama2 70B GGML	0K / 29 GB	17	12
Model 007 70B GGML	0K / 28.6 GB	12	1
Llama2 70B OASST SFT V10 GGML	0K / 29 GB	29	4
Llama 2 70B Orca 200K GGML	0K / 28.6 GB	24	3
Synthia 70B GGML	0K / 28.6 GB	28	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-70B-GGML.

Rank the Llama 2 70B GGML 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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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241110

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Llama 2 70B GGML by TheBloke

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Llama 2 70B GGML Benchmarks

Llama 2 70B GGML Parameters and Internals

Best Alternatives to Llama 2 70B GGML

Rank the Llama 2 70B GGML Capabilities

What open-source LLMs or SLMs are you in search of? 37901 in total.