README.md

metadata

language:
  - en
library_name: transformers
pipeline_tag: text-generation
datasets:
  - teknium/OpenHermes-2.5
  - TokenBender/python_eval_instruct_51k
  - codefuse-ai/Evol-instruction-66k
tags:
  - code
license: apache-2.0
model-index:
  - name: SpeechlessCoder
    results:
      - task:
          type: text-generation
        dataset:
          type: openai_humaneval
          name: HumanEval
        metrics:
          - name: pass@1
            type: pass@1
            value: 0
            verified: false
quantized_by: bartowski

Llamacpp Quantizations of speechless-starcoder2-7b

Using llama.cpp release b2354 for quantization.

Original model: https://huggingface.co/uukuguy/speechless-starcoder2-7b

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Description
speechless-starcoder2-7b-Q8_0.gguf	Q8_0	7.62GB	Extremely high quality, generally unneeded but max available quant.
speechless-starcoder2-7b-Q6_K.gguf	Q6_K	5.89GB	Very high quality, near perfect, recommended.
speechless-starcoder2-7b-Q5_K_M.gguf	Q5_K_M	5.12GB	High quality, very usable.
speechless-starcoder2-7b-Q5_K_S.gguf	Q5_K_S	4.93GB	High quality, very usable.
speechless-starcoder2-7b-Q5_0.gguf	Q5_0	4.93GB	High quality, older format, generally not recommended.
speechless-starcoder2-7b-Q4_K_M.gguf	Q4_K_M	4.40GB	Good quality, similar to 4.25 bpw.
speechless-starcoder2-7b-Q4_K_S.gguf	Q4_K_S	4.12GB	Slightly lower quality with small space savings.
speechless-starcoder2-7b-Q4_0.gguf	Q4_0	4.04GB	Decent quality, older format, generally not recommended.
speechless-starcoder2-7b-Q3_K_L.gguf	Q3_K_L	3.98GB	Lower quality but usable, good for low RAM availability.
speechless-starcoder2-7b-Q3_K_M.gguf	Q3_K_M	3.59GB	Even lower quality.
speechless-starcoder2-7b-Q3_K_S.gguf	Q3_K_S	3.09GB	Low quality, not recommended.
speechless-starcoder2-7b-Q2_K.gguf	Q2_K	2.72GB	Extremely low quality, not recommended.

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski