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

Codestral 22B V0.1 AWQ by stelterlab

 »  All LLMs  »  stelterlab  »  Codestral 22B V0.1 AWQ   URL Share it on

  8   
  4-bit   Autotrain compatible   Awq   Code   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stelterlab/Codestral-22B-v0.1-AWQ 

Codestral 22B V0.1 AWQ Benchmarks

LLME Score: 0.18899
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codestral 22B V0.1 AWQ (stelterlab/Codestral-22B-v0.1-AWQ)

Codestral 22B V0.1 AWQ Parameters and Internals

Model Type 
text generation, code understanding
Use Cases 
Areas:
software development, education
Applications:
VS Code add-ons
Primary Use Cases:
code generation, code explanation
Limitations:
Lack of moderation mechanisms
Considerations:
Engage with community to implement guardrails.
Additional Notes 
Quantized version using AutoAWQ. Supports Fill-in-the-Middle (FIM) requests.
LLM NameCodestral 22B V0.1 AWQ
Repository 🤗https://huggingface.co/stelterlab/Codestral-22B-v0.1-AWQ 
Base Model(s)  bullerwins/Codestral-22B-v0.1-hf   bullerwins/Codestral-22B-v0.1-hf
Model Size22b
Required VRAM12.2 GB
Updated2025-02-22
Maintainerstelterlab
Model Typemistral
Model Files  10.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagescode
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Codestral 22B V0.1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 22B V0.2 AWQ64K / 12.2 GB102
Mistral 22B V0.1 AWQ64K / 12.2 GB81
Codestral 22B V0.1 AWQ32K / 12.2 GB2980
Codestral 22B V0.1 Hf AWQ32K / 12.2 GB822
Codestral 22B V0.1 Hf AWQ32K / 12.2 GB110
MwM 22B Instruct128K / 44.7 GB170
... Instruct 0.2 Chkpt 200 16 Bit128K / 44.7 GB191
...l 22B V0.1 Hf FIM Fix Bnb 4bit32K / 13.1 GB51
Text2cypher Codestral 16bit32K / 44.7 GB263
... Abliterated V3.8.0bpw H8 EXL232K / 21.2 GB71
Note: green Score (e.g. "73.2") means that the model is better than stelterlab/Codestral-22B-v0.1-AWQ.

Rank the Codestral 22B V0.1 AWQ 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? 43470 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.
Release v20241227
  Support LLM Explorer