4-bit Autotrain compatible Awq Base model:oobabooga/codebooga... Base model:quantized:oobabooga... Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeBooga-34B-v0.1-AWQ
CodeBooga 34B V0.1 AWQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
CodeBooga 34B V0.1 AWQ Parameters and Internals
| LLM Name | CodeBooga 34B V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/CodeBooga-34B-v0.1-AWQ |
| Model Name | CodeBooga 34B v0.1 |
| Model Creator | oobabooga |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 18.3 GB |
| Updated | 2025-09-20 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to CodeBooga 34B V0.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Opus V1 34B AWQ | 195K / 19.2 GB | 7 | 1 |
| Smaug 34B V0.1 AWQ | 195K / 19.2 GB | 6 | 2 |
| Yi 34B 200K RPMerge AWQ | 195K / 19.2 GB | 7 | 1 |
| Tess 34B V1.5B AWQ | 195K / 19.3 GB | 8 | 3 |
| ...34B 200K DARE Megamerge V8 AWQ | 195K / 19.3 GB | 6 | 2 |
| ...ey 34B 200K Chat Evaluator AWQ | 195K / 19.3 GB | 6 | 5 |
| Deepmoney 34B 200K Base AWQ | 195K / 19.3 GB | 6 | 1 |
| Nous Capybara Limarpv3 34B AWQ | 195K / 19.3 GB | 6 | 1 |
| Bagel DPO 34B V0.2 AWQ | 195K / 19.3 GB | 8 | 8 |
| Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 5 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeBooga-34B-v0.1-AWQ .
Rank the CodeBooga 34B V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124