LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Speechless Codellama 34B V1.9 by uukuguy

 »  All LLMs  »  uukuguy  »  Speechless Codellama 34B V1.9   URL Share it on

  1018   

Speechless Codellama 34B V1.9 is an open-source language model by uukuguy. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: llama2, Instruction-Based, Code Generating, HF Score: 54.6, LLM Explorer Score: 0.13, Arc: 54.3, HellaSwag: 75.2, MMLU: 56.1, TruthfulQA: 43.9, WinoGrande: 73.6, GSM8K: 24.8.

  Arxiv:2308.12950   Code   Codegen Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-2....   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Instruct   Llama   Llama2   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-codellama-34b-v1.9 

Speechless Codellama 34B V1.9 Benchmarks

ARC: 54.27 vs 96.7 (so35)-43.9%
HellaSwag: 75.2 vs 95.3 (gpt4)-21.1%
MMLU: 56.12 vs 88.3 (so35)-36.4%
TruthfulQA: 43.92 vs 59 (gpt4)-25.6%
WinoGrande: 73.56 vs 87.5 (gpt4)-15.9%
GSM8K: 24.79 vs 96.4 (so35)-74.3%
LLME Score: 0.13122
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 V1.9 (uukuguy/speechless-codellama-34b-v1.9)
🌟 Advertise your project 🚀

Speechless Codellama 34B V1.9 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial and research use
Primary Use Cases:
code synthesis, code understanding, Python programming applications, code generation
Limitations:
Use in any manner that violates applicable laws or regulations
Additional Notes 
Code Llama is a static model trained on an offline dataset. Future versions may improve model safety.
Training Details 
Data Sources:
jondurbin/airoboros-2.2, Open-Orca/OpenOrca, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_V2_196k
Data Volume:
122,828 samples
Methodology:
Fine-tuning to improve reasoning and planning abilities
Training Time:
4 days, 1:52:09.56
Hardware Used:
A100-80GB
Model Architecture:
Optimized transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to their specific applications.
Input Output 
Input Format:
Text input only
Output Format:
Text output only
LLM NameSpeechless Codellama 34B V1.9
Repository 🤗https://huggingface.co/uukuguy/speechless-codellama-34b-v1.9 
Model Size34b
Required VRAM67.5 GB
Updated2026-04-16
Maintaineruukuguy
Model Typellama
Instruction-BasedYes
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 Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.2
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 V1.9

Best Alternatives
Context / RAM
Downloads
Likes
...gpt 32K Codellama 34B Instruct32K / 67.5 GB5022
CodeLlama 34B Instruct Hf16K / 67.5 GB21226304
CodeLlama 34B Instruct Hf16K / 1.4 GB63
Speechless Codellama 34B V2.016K / 67.5 GB101917
CodeLlama 34B Instruct Hf16K / 67.5 GB82119
CodeFuse CodeLlama 34B16K / 67.5 GB198293
XAgentLLaMa 34B Preview16K / 157.3 GB153
...gpt 16K Codellama 34B Instruct16K / 67.5 GB6214
MathCoder CL 34B16K / 67.5 GB113
CodeLlama 34B Instruct Hf16K / 1.4 GB53
Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-codellama-34b-v1.9.

Rank the Speechless Codellama 34B V1.9 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  

What open-source LLMs or SLMs are you in search of? 53232 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer