What are the hardware requirements for Tora Code 34B V1.0?

Tora Code 34B V1.0 requires approximately 67.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tora Code 34B V1.0 and how large is it?

Tora Code 34B V1.0 is developed by llm-agents, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Tora Code 34B V1.0 perform on standard benchmarks?

Tora Code 34B V1.0 has the following published scores: MMLU 46.78. Compare against reference models on this page or on the LLM Explorer leaderboards.

Tora Code 34B V1.0 by llm-agents — VRAM 67.5GB, 16K context

Name: Tora Code 34B V1.0
Author: llm-agents

Tora Code 34B V1.0 is an open-source language model by llm-agents. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: llama2, Code Generating, HF Score: 49, LLM Explorer Score: 0.14, Arc: 50.4, HellaSwag: 75.5, MMLU: 46.8, TruthfulQA: 39.7, WinoGrande: 68.2, GSM8K: 13.1.

Arxiv:2309.17452 Code Codegen Dataset:competition math Dataset:gsm8k En Endpoints compatible Llama Math Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/llm-agents/tora-code-34b-v1.0

Tora Code 34B V1.0 Benchmarks

ARC: 50.43 vs 96.7 (so35)^-47.8%

HellaSwag: 75.54 vs 95.3 (gpt4)^-20.7%

MMLU: 46.78 vs 88.3 (so35)^-47%

TruthfulQA: 39.66 vs 59 (gpt4)^-32.8%

WinoGrande: 68.19 vs 87.5 (gpt4)^-22.1%

GSM8K: 13.12 vs 96.4 (so35)^-86.4%

LLME Score: 0.13775

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

What is the LLM Explorer Rank (Score)

Tora Code 34B V1.0 (llm-agents/tora-code-34b-v1.0)

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Tora Code 34B V1.0 Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

mathematical reasoning, problem-solving

Primary Use Cases:

Mathematical problem solving using computation libraries and symbolic solvers

Considerations:

Combines natural language reasoning with computational tools

Additional Notes

ToRA integrates language reasoning and external computational tools for enhanced problem-solving capabilities

Supported Languages

en (fluent)

Training Details

Data Sources:

ToRA-Corpus 16k, MATH, GSM8k from GPT-4

Methodology:

Imitation learning (i.e., SFT) with output space shaping

Release Notes

Version:

v1.0

Date:

2023/10/08

Notes:

All ToRA models released at HuggingFace.

Version:

v1.0

Date:

2023/09/29

Notes:

ToRA paper, repo, and website released.

LLM Name	Tora Code 34B V1.0
Repository 🤗	https://huggingface.co/llm-agents/tora-code-34b-v1.0
Model Size	34b
Required VRAM	67.5 GB
Updated	2026-04-27
Maintainer	llm-agents
Model Type	llama
Model Files	9.8 GB: 1-of-7 9.7 GB: 2-of-7 9.7 GB: 3-of-7 9.7 GB: 4-of-7 9.7 GB: 5-of-7 9.7 GB: 6-of-7 9.2 GB: 7-of-7
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	bfloat16

Quantized Models of the Tora Code 34B V1.0

Model	Likes	Downloads	VRAM
Tora Code 34B V1.0 GGUF	5	274	14 GB
Tora Code 34B V1.0 GPTQ	2	12	17 GB
Tora Code 34B V1.0 AWQ	0	5	18 GB

Best Alternatives to Tora Code 34B V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...gpt 32K Codellama 34B Instruct	32K / 67.5 GB	502	2
CodeLlama 34B Instruct Hf	16K / 67.5 GB	21226	304
ReflectionCoder CL 34B	16K / 67.6 GB	8479	0
CodeLlama 34B Instruct Hf	16K / 1.4 GB	6	3
Speechless Codellama 34B V2.0	16K / 67.5 GB	1019	17
Phind CodeLlama 34B V2	16K / 67.5 GB	1566	833
Phind CodeLlama 34B V1	16K / 67.5 GB	1172	320
Phind CodeLlama 34B Python V1	16K / 67.5 GB	1229	252
CodeLlama 34B Python Hf	16K / 67.5 GB	1243	99
CodeLlama 34B Hf	16K / 67.5 GB	1376	2

Note: green Score (e.g. "73.2") means that the model is better than llm-agents/tora-code-34b-v1.0.

Rank the Tora Code 34B V1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Tora Code 34B V1.0 by llm-agents