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Speechless Codellama 34B V2.0 GPTQ by TheBloke

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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: 0.11.

  Arxiv:2308.12950   4-bit   Autotrain compatible Base model:quantized:uukuguy/s... Base model:uukuguy/speechless-...   Code   Codegen Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-2....   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Gptq   Instruct   Llama   Llama2   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/speechless-codellama-34b-v2.0-GPTQ 

Speechless Codellama 34B V2.0 GPTQ Benchmarks

LLME Score: 0.10545
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speechless Codellama 34B V2.0 GPTQ (TheBloke/speechless-codellama-34b-v2.0-GPTQ)
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Speechless Codellama 34B V2.0 GPTQ Parameters and Internals

Model Type 
llama, code
Use Cases 
Areas:
commercial, research
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 
en (English)
Training Details 
Data Sources:
jondurbin/airoboros-2.2, Open-Orca/OpenOrca, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_V2_196k
Data Volume:
153,013 samples
Training Time:
1 day, 14:42:57.87
Hardware Used:
H800-80G x 2
Model Architecture:
auto-regressive transformer
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
text
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:
2.0
Notes:
Multiple quantisation parameters provided for optimising performance based on hardware configuration. GPTQ parameters are detailed for user reference to enhance inference accuracy.
LLM NameSpeechless Codellama 34B V2.0 GPTQ
Repository 🤗https://huggingface.co/TheBloke/speechless-codellama-34b-v2.0-GPTQ 
Model NameSpeechless Codellama 34B v2.0
Model CreatorJiangwen Su
Base Model(s)  uukuguy/speechless-codellama-34b-v2.0   uukuguy/speechless-codellama-34b-v2.0
Model Size34b
Required VRAM17.7 GB
Updated2025-11-23
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  17.7 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
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 Size32000
Torch Data Typefloat16

Best Alternatives to Speechless Codellama 34B V2.0 GPTQ

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Context / RAM
Downloads
Likes
CodeFuse CodeLlama 34B 4bits16K / 19 GB3027
CodeLlama 34B Instruct GPTQ16K / 18.3 GB9174
CodeLlama 34B Instruct Fp1616K / 67.5 GB28196
CodeLlama 34B Instruct Hf 4bit16K / 19.4 GB682
... Uncensored CodeLlama 34B GPTQ16K / 17.7 GB77
...gpt 32K Codellama 34B Instruct32K / 67.5 GB842
CodeLlama 34B Instruct Hf16K / 67.5 GB13339304
Speechless Codellama 34B V2.016K / 67.5 GB54917
Speechless Codellama 34B V1.916K / 67.5 GB17520
CodeLlama 34B Instruct Hf16K / 67.5 GB25517
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/speechless-codellama-34b-v2.0-GPTQ.

Rank the Speechless Codellama 34B V2.0 GPTQ 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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