4-bit Autotrain compatible Awq Codegen Conversational Endpoints compatible Gpt bigcode Instruct Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/granite-34b-code-instruct-awq
Granite 34B Code Instruct 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)
Granite 34B Code Instruct AWQ Parameters and Internals
| LLM Name | Granite 34B Code Instruct AWQ |
| Repository 🤗 | https://huggingface.co/KnutJaegersberg/granite-34b-code-instruct-awq |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 18.6 GB |
| Updated | 2025-09-23 |
| Maintainer | KnutJaegersberg |
| Model Type | gpt_bigcode |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Generates Code | Yes |
| Model Architecture | GPTBigCodeForCausalLM |
| License | apache-2.0 |
| Model Max Length | 9223372036854775807 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 49152 |
| Torch Data Type | float16 |
| Activation Function | gelu_pytorch_tanh |
Best Alternatives to Granite 34B Code Instruct AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Granite 34B Code Instruct | 0K / 67.1 GB | 2710 | 68 |
| Granite 34B Code Instruct 8K | 0K / 67.1 GB | 1327 | 75 |
Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/granite-34b-code-instruct-awq .
Rank the Granite 34B Code Instruct AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124