4bit Autotrain compatible Codegen Conversational En Endpoints compatible Fast-apply Instant-apply Instruct Quantized Qwen2 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Kortix/FastApply-1.5B-v1.0
FastApply 1.5B V1.0 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)
FastApply 1.5B V1.0 Parameters and Internals
| LLM Name | FastApply 1.5B V1.0 |
| Repository 🤗 | https://huggingface.co/Kortix/FastApply-1.5B-v1.0 |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-06-01 |
| Maintainer | Kortix |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to FastApply 1.5B V1.0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Text2SQL 1.5B | 32K / 3.1 GB | 311 | 7 |
| Zirel 1.5 | 32K / 3.1 GB | 7 | 0 |
| ...5 Coder 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 4472 | 1 |
| Replete Coder Qwen2 1.5B | 128K / 3.1 GB | 233 | 23 |
| Qwen2.5 Coder 1.5B Instruct | 32K / 3.1 GB | 45259 | 75 |
| ...n2.5 Coder Draft 1.5B Instruct | 32K / 3.1 GB | 27 | 0 |
| ...wen2.5 Coder 1.5B Instruct AWQ | 32K / 1.6 GB | 13795 | 3 |
| Openhands Lm 1.5B V0.1 | 32K / 3.1 GB | 33 | 10 |
| Qwen2.5 Coder 1.5B Instruct | 32K / 3.1 GB | 8210 | 5 |
| Arch Function Chat 1.5B | 32K / 3.1 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Kortix/FastApply-1.5B-v1.0 .
Rank the FastApply 1.5B V1.0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227