qwen2.5-coder-7B-instruct-bd is an embedding model for text embeddings from nomic-ai, published on Hugging Face as nomic-ai/qwen2.5-coder-7B-instruct-bd. The recommended 28.3 GB file fits comfortably in 96 GB of memory and needs at least 48 GB (a file size estimate, not a tested run). Hugging Bay hosts 12 files for this model. No license is stated; read the source before use.
What we checked
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Last recorded run: none for this selected file.
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Can I run qwen2.5-coder-7B-instruct-bd on my computer?
It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
qwen2.5-coder-7B-instruct-bd is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.
As of the recorded file availability check on .
Recorded SHA-256 for model-00001-of-00006.safetensors: c1a8a54c2867d9f619a56e68615882bedbe7d7558757b104739ad33340e60029. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.
Page text updated .
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
Key facts
- Catalog record
- Summarizes upstream metadata; it is not itself a download or run receipt.
- File evidence
- Lists exact filenames, availability and any recorded SHA-256 for individual files.
- Run evidence
- Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
- Checksum scope
- SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.
Evidence you can inspect (plain text)
- This page’s quick answer names the file record for hf-model-nomic-ai-qwen2-5-coder-7b-instruct-bd.
- Open /artifact/hf-model-nomic-ai-qwen2-5-coder-7b-instruct-bd/files for exact filenames, availability and any recorded SHA-256 for this model.
- Open /evidence/artifacts/hf-model-nomic-ai-qwen2-5-coder-7b-instruct-bd for run-readiness evidence tied to that record; absent receipts stay unmeasured.
- Open /api/artifacts/hf-model-nomic-ai-qwen2-5-coder-7b-instruct-bd/card.md for machine-readable source facts (not a runtime test).
- A matching checksum on this page fingerprints only the named bytes shown in file evidence.
Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.
Which date applies to which fact
- File availability check:
- Committed page-copy sources:
- Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
- Run receipts: Only on /evidence pages when recorded; otherwise unmeasured
Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.
Requirements and source record
nomic-ai/qwen2.5-coder-7B-instruct-bdContent controls: not assessed.
The catalog lists this model for finding useful details in data. Catalog sources: task label, model card task.
Recorded model facts
- Repository
- nomic-ai/qwen2.5-coder-7B-instruct-bd
- Task
- feature-extraction
- License
- unknown
- Framework
- transformers
16 files, 28.3 GB in total.
- Parameters
- 7B
- फ़ॉर्मैट
- safetensors
Needs its own code to run. Tagged custom_code on its source page. Plain llama.cpp, Ollama and LM Studio commands are not offered for this model unless a GGUF file is listed.
Fit and run
Fit We can't estimate memory for this model yet.
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Where this number comes from
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Disk space on this computer is not measured.
File size multiplied by 1.3 provides an estimate of memory needed. Runtime, context length and other apps may need more. This is not a tested run.
Use another tool
Download a compatible GGUF file first. Tool and model compatibility vary.
- Ollama: write a Modelfile with FROM pointing to the GGUF, then run
ollama create my-model -f Modelfileandollama run my-model. - llama.cpp: install llama.cpp and load the GGUF with
llama-cli -mfollowed by its file path; use the model’s chat template if available. - LM Studio: import the GGUF from the downloaded file and load it in the app.
फ़ाइलें
All files and download checks →Where this information comes from
क्या शामिल है
Download availability is being checked.
इस मॉडल के बारे में
External Hugging Face catalog record for nomic-ai/qwen2.5-coder-7B-instruct-bd. Task: feature extraction. Library: transformers. Popularity signal at import: 15 downloads and 1 likes.
ज़रूरी जानकारी
- Parameters
- 7B
- Hosted here
- Download availability is being checked.
- Full repo upstream
- 28.3 GB
- Recommended file
- 28.3 GB (6 files)
- Format
- safetensors
- File hashes
- Hashes recorded. Date not recorded.
लाइसेंस और स्रोत
No license stated
- License
- No license stated
- Task
- text embeddings
- Hosted here
- 12 files, 28.3 GB
- Full repo upstream
- 28.3 GB
- Recommended file
- 28.3 GB (6 files)
- Parameters
- 7B
- Files
- 12 hosted of 16 listed
- Needs its own code to run
- Tagged custom_code on its source page
- Download
- Download here (12 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- nomic-ai/qwen2.5-coder-7B-instruct-bd
FAQ
What is this model?
nomic-ai/qwen2.5-coder-7B-instruct-bd is an embedding model for text embeddings published by nomic-ai, added to Hugging Bay Sep 19, 2026. Model from Hugging Face for feature extraction: nomic-ai/qwen2.5-coder-7B-instruct-bd · transformers
Can I use it commercially?
No license stated.
How big is it?
nomic-ai/qwen2.5-coder-7B-instruct-bd has 7B parameters. Hosted here: 12 files, 28.3 GB. Full repo upstream: 28.3 GB. The recommended download, a 6-file weight set, is 28.3 GB.
What can I download here?
Hosted here: 12 files, 28.3 GB. Full repo upstream: 28.3 GB.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nomic-ai-qwen2-5-coder-7b-instruct-bd/safety on Hugging Bay.
Will nomic-ai/qwen2.5-coder-7B-instruct-bd run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.
Device fit from run reports
No device run reports recorded yet. Device fit has not been measured.
Run report details
Results describe the reported file and hardware, not a guarantee for your machine. Community reports have not been independently checked.
Run reports as JSON