Speechless Codellama 34B V2.0 GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 17.7GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.
Speechless Codellama 34B V2.0 GPTQ Parameters and Internals
Model Type
Use Cases
Areas:
Applications: code synthesis, code understanding, Python programming, code assistant, generation applications
Considerations: Use in any manner that violates applicable laws or regulations is not allowed. Use in languages other than English is also a limitation.
Supported Languages
Training Details
Data Sources: jondurbin/airoboros-2.2, Open-Orca/OpenOrca, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_V2_196k
Data Volume:
Training Time:
Hardware Used:
Model Architecture: auto-regressive transformer
Input Output
Input Format:
Accepted Modalities:
Output Format:
Performance Tips: The model's performance can vary based on GPTQ parameters such as bit size, group size, damp percentage, and dataset.
Release Notes
Version:
Notes: Multiple quantisation parameters provided for optimising performance based on hardware configuration. GPTQ parameters are detailed for user reference to enhance inference accuracy.
LLM Name Speechless Codellama 34B V2.0 GPTQ Repository π€ https://huggingface.co/TheBloke/speechless-codellama-34b-v2.0-GPTQ Model Name Speechless Codellama 34B v2.0 Model Creator Jiangwen Su Base Model(s) uukuguy/speechless-codellama-34b-v2.0 uukuguy/speechless-codellama-34b-v2.0 Model Size 34b Required VRAM 17.7 GB Updated 2026-08-02 Maintainer TheBloke Model Type llama Instruction-Based Yes Model Files 17.7 GB Supported Languages en GPTQ Quantization Yes Quantization Type gptq Generates Code Yes Model Architecture LlamaForCausalLM License llama2 Context Length 16384 Model Max Length 16384 Transformers Version 4.34.0 Tokenizer Class LlamaTokenizer Beginning of Sentence Token <s> End of Sentence Token </s> Unk Token <unk> Vocabulary Size 32000 Torch Data Type float16
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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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