🧠
Llemma 34b model by EleutherAI
⭐ 25.6
🧠
Model

Llemma 34b

by EleutherAI eleutherai/llemma_34b
Free2AITools Nexus Index
25.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 19
R: Recency 17
Q: Quality 65
Tech Context
34 Params
8.192K Ctx
Vital Performance
423 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 25.6 FNI Score
34B Params
8k Context
423 Downloads
H100+ ~28GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted LLAMA License
Model Information Summary
Entity Passport
Registry ID eleutherai/llemma_34b
License LLaMA-2
Provider huggingface
πŸ’Ύ

Compute Threshold

~28GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eleutherai_llemma_34b,
  author = {EleutherAI},
  title = {Llemma 34b Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/EleutherAI/llemma_34b}},
  note = {Accessed via Free2AITools.}
}
APA Style
EleutherAI. (2023). Llemma 34b [Model]. Free2AITools. https://huggingface.co/EleutherAI/llemma_34b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run llemma_34b
πŸ€— HF Download
huggingface-cli download eleutherai/llemma_34b
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 53
Popularity (P) 19
Recency (R) 17
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Llemma 34b: Authority (A:53), Popularity (P:19), Recency (R:17), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
423Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--eleutherai--llemma_34b
slug
eleutherai--llemma_34b
source
huggingface
author
EleutherAI
license
LLaMA-2
tags
transformers, pytorch, llama, text-generation, math, reasoning, en, dataset:eleutherai/proof-pile-2, dataset:open-web-math/open-web-math, arxiv:2310.10631, license:llama2, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
34
context length
8,192
pipeline tag
text-generation
vram gb
28
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
423
stars
0
forks
0

Data indexed from public sources. Updated daily.