Find 16,000+ LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) Leads on GitHub
GitLeads monitors GitHub stars, forks, issues, and keyword signals to surface LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) leads who are actively building — right when they're most likely to buy your developer tool. Turn GitHub activity into pipeline.
Sample LLM Compressor Dev Leads — Live from GitHub
Emails partially redacted. Sign up free to reveal contact details and start outreach.
| Developer | GitHub Stars | Repos | Location | |
|---|---|---|---|---|
Alex Chen @alexchen Open source enthusiast. Building developer tools. | ★ 2,840 | 34 | San Francisco, CA | a***@gmail.comReveal → |
Sarah K. @sarahk_dev Full-stack dev. Loves OSS and clean APIs. | ★ 1,190 | 21 | Berlin, Germany | s***@proton.meReveal → |
Marcus T. @marcust Maintainer of several popular libraries. | ★ 3,470 | 58 | Toronto, Canada | m***@outlook.comReveal → |
Priya R. @priyaR Engineer at a Series B SaaS startup. | ★ 890 | 16 | Bangalore, India | p***@gmail.comReveal → |
Jordan M. @jmdev DevRel engineer. Writes about DX and tooling. | ★ 4,120 | 47 | Austin, TX | j***@hey.comReveal → |
How GitLeads Finds LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) Leads on GitHub
GitHub Signal Detection
We continuously index GitHub repositories tagged with LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors)-related topics. Stars, forks, new issues, and README keywords all fire signals.
Developer Profiling
Each developer's activity is scored by recency, influence (stars earned), and project relevance. You get leads ranked by likelihood to engage.
Contact Enrichment
We cross-reference public commit metadata, README contact sections, and linked social profiles to find verified email addresses.
Pipeline & CRM Export
Export leads to CSV, push to HubSpot, Salesforce, or Pipedrive, or use our REST API. Every lead includes GitHub context so your outreach is warm from the start.
Who Uses GitLeads for LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) GitHub Leads?
- Developer tool founders — build a pipeline of warm leads before your Product Hunt launch
- DevRel teams — identify community champions and potential OSS contributors
- B2B SaaS companies — target LLM Compressor Dev Leads who are actively evaluating new tools
- Recruiting agencies — source active LLM Compressor Dev Leads for technical hiring
- Agencies & growth consultants — resell developer lead generation as a service
FAQ: GitHub Leads for LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors)
How many LLM Compressor Dev Leads are on GitHub?
Our index currently tracks over 16,000 LLM Compressor Dev Leads with verifiable activity in the last 90 days. GitHub hosts millions of developers; GitLeads filters to the ones who are actively building and most likely to be reachable.
How does GitLeads find LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) developer emails?
We extract emails from public commit metadata, README files, GitHub profiles, and linked social accounts. All data is publicly available and GDPR-compliant for B2B outreach under legitimate interest.
Can I filter LLM Compressor Dev Leads by location, stars, or company?
Yes. GitLeads supports filtering by location (city, country), star count, follower count, company/org affiliation, repository topics, and activity recency. Build hyper-targeted lists in minutes.
How often is the LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) developer list updated?
Our GitHub crawler runs continuously. New developers who star or fork a LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) repository are added to your pipeline within 24 hours.
Start Finding LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) Leads on GitHub Today
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Get 50 Free LLM Compressor & Quantization Developer Leads (LLMCompressor vllm-project/llm-compressor oneshot apply_recipe authors, LLM compressor SparseGPT GPTQ AWQ quantize recipe engineers, llm-compressor QuantizationConfig num_bits type symmetric contributors, llm-compressor SparseAutoModelForCausalLM save_pretrained developers, AutoFP8 AutoGPTQ AutoAWQ quantize from_pretrained authors, AQLM GGUF ExLlama EXL2 quantization format engineers, llmcompressor ActivationOrdering smooth_quant sparsity contributors) Leads →