paper-0163 · paper · 2023
Hugo Touvron et al. (Meta)
Primary technical report for a notable AI model (verified primary source).
Abstract
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may be a suitable substitute for closed-source models. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama 2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs. [OpenAlex]
Academic, score -0.1977
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 2627.0 | 0.011821 | 0.5 | 0.00591 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.1 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 7.0 | 0.428571 | 0.05 | 0.021429 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.125 | recorded as missing; penalized by rule, never imputed | |||||
Broad Influence, score -0.0262
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 2627.0 | 0.011821 | 0.2 | 0.002364 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.125 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 7.0 | 0.428571 | 0.4 | 0.171429 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.075 | recorded as missing; penalized by rule, never imputed | |||||
Governance Practitioner, score -0.2792
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 2627.0 | 0.011821 | 0.25 | 0.002955 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.15 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 7.0 | 0.428571 | 0.1 | 0.042857 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.175 | recorded as missing; penalized by rule, never imputed | |||||
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