Tora Code 7B V1.0 AWQ by TheBloke

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  Arxiv:2309.17452   4-bit   Autotrain compatible   Awq Base model:llm-agents/tora-cod... Base model:quantized:llm-agent...   Code   Dataset:competition math   Dataset:gsm8k   En   Llama   Math   Quantized   Region:us   Safetensors

Tora Code 7B V1.0 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tora Code 7B V1.0 AWQ (TheBloke/tora-code-7B-v1.0-AWQ)

Tora Code 7B V1.0 AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
Research, Commercial applications
Applications:
Mathematical problem solving
Primary Use Cases:
To solve challenging mathematical reasoning problems by interacting with tools, such as computation libraries and symbolic solvers.
Additional Notes 
The model integrates natural language reasoning with the use of external tools, enhancing both analytical and computational effectiveness.
Supported Languages 
en (English)
Training Details 
Data Sources:
ToRA-Corpus 16k, including tool-integrated reasoning trajectories of MATH and GSM8k from GPT-4
Methodology:
The models are trained using imitation learning (i.e., SFT) and then use output space shaping to enhance tool-integrated reasoning behaviors.
Model Architecture:
Llama
Input Output 
Input Format:
<|user|> {prompt} <|assistant|>
Output Format:
text
LLM NameTora Code 7B V1.0 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/tora-code-7B-v1.0-AWQ 
Model NameToRA Code 7B v1.0
Model CreatorLLM-Agents
Base Model(s)  llm-agents/tora-code-7b-v1.0   llm-agents/tora-code-7b-v1.0
Model Size7b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/tora-code-7B-v1.0-AWQ.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217